ML.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Step 1 : Importing data from Data Warehouse (parquet files)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "import sys\n",
    "from pyspark.sql import SparkSession\n",
    "from pyspark.sql.functions import col, explode, expr\n",
    "\n",
    "from pyspark.sql import functions as F\n",
    "from pyspark.sql.functions import col, count, sum, when, datediff, current_date\n",
    "\n",
    "# Initialize Spark session\n",
    "spark = SparkSession.builder \\\n",
    "    .appName(\"FHIR Data Pipeline\") \\\n",
    "    .getOrCreate()\n",
    "\n",
    "\n",
    "#Reading from parquet files\n",
    "file_path = sys.argv[1]\n",
    "patient_df= spark.read.parquet(f\"{file_path}/patient\")\n",
    "claim_df = spark.read.parquet(f\"{file_path}/claim\")\n",
    "encounter_with_participant_df = spark.read.parquet(f\"{file_path}/encounter\")\n",
    "immunization_df = spark.read.parquet(f\"{file_path}/immunization\")\n",
    "procedure_df = spark.read.parquet(f\"{file_path}/procedure\")\n",
    "observation_df = spark.read.parquet(f\"{file_path}/observation\")\n",
    "diagnostic_report_df = spark.read.parquet(f\"{file_path}/diagnostic_report\")\n",
    "condition_df = spark.read.parquet(f\"{file_path}/condition\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Step 2: Defining new dataframes for the model "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "\n",
    "# Step 1: Prepare patient and chronic conditions data\n",
    "\n",
    "from pyspark.sql.functions import col, lit\n",
    "\n",
    "# Check for \"chronic\" conditions based on `condition_code_display`\n",
    "chronic_condition_df = condition_df.filter(\n",
    "    col(\"condition_code_display\").rlike(\"(?i)chronic\")\n",
    ")\n",
    "\n",
    "# Aggregate to create `has_chronic_conditions_df`\n",
    "has_chronic_conditions_df = chronic_condition_df.groupBy(\"patient_reference\").agg(\n",
    "    lit(1).alias(\"has_chronic_conditions\")\n",
    ")\n",
    "\n",
    "has_chronic_conditions_df_alias = has_chronic_conditions_df.alias(\"hc\")\n",
    "patient_df_alias = patient_df.alias(\"p\")\n",
    "\n",
    "# Join `patient_df` with `has_chronic_conditions_df`, carefully selecting columns\n",
    "patient_df = patient_df_alias.join(\n",
    "    has_chronic_conditions_df_alias.select(\n",
    "        col(\"patient_reference\").alias(\"hc_patient_reference\"),\n",
    "        col(\"has_chronic_conditions\").alias(\"hc_has_chronic_conditions\")\n",
    "    ),\n",
    "    F.col(\"p.patient_id\") == F.col(\"hc_patient_reference\"),\n",
    "    how=\"left\"\n",
    ").drop(\"hc_patient_reference\")  # Drop duplicate column after join\n",
    "\n",
    "# Rename `hc_has_chronic_conditions` to `has_chronic_conditions` to unify naming\n",
    "patient_df = patient_df.withColumnRenamed(\"hc_has_chronic_conditions\", \"has_chronic_conditions\")\n",
    "\n",
    "# Fill missing values for `has_chronic_conditions`\n",
    "patient_df = patient_df.fillna({\"has_chronic_conditions\": 0})\n",
    "\n",
    "# Step 2: Aggregate healthcare costs and join\n",
    "total_cost_df_alias = claim_df.groupBy(\"patient_reference\").agg(\n",
    "    F.sum(col(\"total_amount\").cast(\"float\")).alias(\"total_healthcare_cost\")\n",
    ").alias(\"tc\")\n",
    "\n",
    "patient_df = patient_df.join(\n",
    "    total_cost_df_alias.select(\n",
    "        col(\"patient_reference\").alias(\"tc_patient_reference\"),\n",
    "        col(\"total_healthcare_cost\")\n",
    "    ),\n",
    "    F.col(\"p.patient_id\") == F.col(\"tc_patient_reference\"),\n",
    "    how=\"left\"\n",
    ").drop(\"tc_patient_reference\")  # Drop duplicate column after join\n",
    "\n",
    "# Fill missing values for `total_healthcare_cost`\n",
    "patient_df = patient_df.fillna({\"total_healthcare_cost\": 0.0})\n",
    "\n",
    "# Step 3: Add derived features\n",
    "patient_df = patient_df.withColumn(\n",
    "    \"age\", (datediff(current_date(), col(\"birth_date\").cast(\"date\")) / 365.25).cast(\"int\")\n",
    ").withColumn(\n",
    "    \"is_senior\", when(col(\"age\") >= 65, 1).otherwise(0)\n",
    ").withColumn(\n",
    "    \"region_risk\", when(col(\"state\").isin(\"CA\", \"NY\"), 0.8).otherwise(0.4)\n",
    ").withColumn(\n",
    "    \"label\", when(col(\"age\") > 50, 1).otherwise(0)  # Example logic for labels\n",
    ")\n",
    "\n",
    "# Step 4: Select final patient-level features\n",
    "patient_features = patient_df.select(\n",
    "    col(\"state\"),\n",
    "    col(\"has_chronic_conditions\"),\n",
    "    col(\"total_healthcare_cost\"),\n",
    "    col(\"age\"),\n",
    "    col(\"is_senior\"),\n",
    "    col(\"region_risk\"),\n",
    "    col(\"label\")\n",
    ")\n",
    "\n",
    "# Step 5: Additional feature calculations (encounters, claims, etc.)\n",
    "encounter_features = encounter_with_participant_df.groupBy(\"patient_reference\").agg(\n",
    "    F.count(\"encounter_id\").alias(\"num_encounters\"),\n",
    "    F.sum(when(F.col(\"status\") == \"completed\", 1).otherwise(0)).alias(\"completed_encounters\"),\n",
    "    F.min(\"start_time\").alias(\"first_encounter\"),\n",
    "    F.max(\"end_time\").alias(\"last_encounter\")\n",
    ")\n",
    "\n",
    "claim_features = claim_df.groupBy(\"patient_reference\").agg(\n",
    "    F.count(\"claim_id\").alias(\"num_claims\"),\n",
    "    F.sum(col(\"total_amount\").cast(\"float\")).alias(\"total_claim_amount\")\n",
    ")\n",
    "\n",
    "condition_features = condition_df.groupBy(\"patient_reference\").agg(\n",
    "    F.count(\"condition_id\").alias(\"num_conditions\")\n",
    ")\n",
    "\n",
    "procedure_features = procedure_df.groupBy(\"subject_reference\").agg(\n",
    "    F.count(\"procedure_id\").alias(\"num_procedures\")\n",
    ")\n",
    "\n",
    "immunization_features = immunization_df.groupBy(\"patient_reference\").agg(\n",
    "    F.count(\"immunization_id\").alias(\"num_immunizations\")\n",
    ")\n",
    "\n",
    "diagnostic_features = diagnostic_report_df.groupBy(\"subject_reference\").agg(\n",
    "    F.count(\"diagnostic_report_id\").alias(\"num_diagnostic_reports\")\n",
    ")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "RISK SCORE PREDICTION : Identifying high-risk patients allows healthcare providers to intervene proactively, allocate resources more effectively, and ultimately improve patient care while minimizing healthcare costs."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "MODEL 1 : RANDOM FOREST"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "root\n",
      " |-- subject_reference: string (nullable = true)\n",
      " |-- num_procedures: long (nullable = false)\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                                                                                \r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean Squared Error: 0.0009400000000000002\n",
      "Predicted Risk Scores for the Test Data:\n",
      "[0.02 0.05 0.99 0.99 0.04]\n",
      "R-squared (R²) Accuracy: 0.9960833333333333\n"
     ]
    }
   ],
   "source": [
    "# Check the schema of procedure_features to ensure correct column names\n",
    "procedure_features.printSchema()\n",
    "\n",
    "\n",
    "# Proceed with the rest of the code if the column exists in both dataframes\n",
    "\n",
    "# Adjust the join to use the correct reference\n",
    "data = patient_features.alias(\"p\") \\\n",
    "    .join(encounter_features.alias(\"e\"), col(\"p.state\") == col(\"e.patient_reference\"), \"left\") \\\n",
    "    .join(claim_features.alias(\"c\"), col(\"p.state\") == col(\"c.patient_reference\"), \"left\") \\\n",
    "    .join(condition_features.alias(\"cond\"), col(\"p.state\") == col(\"cond.patient_reference\"), \"left\") \\\n",
    "    .join(procedure_features.alias(\"proc\"), col(\"p.state\") == col(\"proc.subject_reference\"), \"left\") \\\n",
    "    .join(immunization_features.alias(\"imm\"), col(\"p.state\") == col(\"imm.patient_reference\"), \"left\") \\\n",
    "    .join(diagnostic_features.alias(\"diag\"), col(\"p.state\") == col(\"diag.subject_reference\"), \"left\") \\\n",
    "    .select(\n",
    "        col(\"p.state\"),\n",
    "        col(\"p.has_chronic_conditions\"),\n",
    "        col(\"p.total_healthcare_cost\"),\n",
    "        col(\"p.age\"),\n",
    "        col(\"p.is_senior\"),\n",
    "        col(\"p.region_risk\"),\n",
    "        col(\"p.label\"),\n",
    "        col(\"e.num_encounters\"),\n",
    "        col(\"e.completed_encounters\"),\n",
    "        col(\"c.num_claims\"),\n",
    "        col(\"c.total_claim_amount\"),\n",
    "        col(\"cond.num_conditions\"),\n",
    "        col(\"proc.num_procedures\"),\n",
    "        col(\"imm.num_immunizations\"),\n",
    "        col(\"diag.num_diagnostic_reports\")\n",
    "    )\n",
    "\n",
    "# Fill missing values\n",
    "data = data.fillna(0)\n",
    "\n",
    "# Convert to Pandas for ML Model (if necessary)\n",
    "data_pd = data.toPandas()\n",
    "\n",
    "# Define X and y\n",
    "X = data_pd.drop(\"label\", axis=1)\n",
    "y = data_pd[\"label\"]\n",
    "\n",
    "# Train-test split\n",
    "from sklearn.model_selection import train_test_split\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=5, random_state=42)\n",
    "\n",
    "# Preprocessing and Model Pipeline\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "from sklearn.compose import ColumnTransformer\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.preprocessing import StandardScaler, OneHotEncoder\n",
    "from sklearn.impute import SimpleImputer\n",
    "from sklearn.metrics import mean_squared_error\n",
    "\n",
    "# Define numeric and categorical features\n",
    "numeric_features = [\"total_healthcare_cost\", \"age\", \"region_risk\", \"num_encounters\", \"completed_encounters\",\n",
    "                    \"num_claims\", \"total_claim_amount\", \"num_conditions\", \"num_procedures\", \"num_immunizations\",\n",
    "                    \"num_diagnostic_reports\"]\n",
    "categorical_features = [\"state\", \"has_chronic_conditions\", \"is_senior\"]\n",
    "\n",
    "# Preprocessing\n",
    "numeric_transformer = Pipeline(steps=[\n",
    "    (\"imputer\", SimpleImputer(strategy=\"median\")),\n",
    "    (\"scaler\", StandardScaler())\n",
    "])\n",
    "\n",
    "categorical_transformer = Pipeline(steps=[\n",
    "    (\"imputer\", SimpleImputer(strategy=\"most_frequent\")),\n",
    "    (\"onehot\", OneHotEncoder(handle_unknown=\"ignore\"))\n",
    "])\n",
    "\n",
    "preprocessor = ColumnTransformer(\n",
    "    transformers=[\n",
    "        (\"num\", numeric_transformer, numeric_features),\n",
    "        (\"cat\", categorical_transformer, categorical_features)\n",
    "    ]\n",
    ")\n",
    "\n",
    "# Model pipeline\n",
    "model = Pipeline(steps=[\n",
    "    (\"preprocessor\", preprocessor),\n",
    "    (\"regressor\", RandomForestRegressor(n_estimators=100, random_state=42))\n",
    "])\n",
    "\n",
    "# Train the model\n",
    "model.fit(X_train, y_train)\n",
    "\n",
    "# Evaluate\n",
    "y_pred = model.predict(X_test)\n",
    "mse = mean_squared_error(y_test, y_pred)\n",
    "print(f\"Mean Squared Error: {mse}\")\n",
    "print(\"Predicted Risk Scores for the Test Data:\")\n",
    "print(y_pred)\n",
    "\n",
    "from sklearn.metrics import r2_score\n",
    "r2 = r2_score(y_test, y_pred)\n",
    "print(f\"R-squared (R²) Accuracy: {r2}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "MODEL 2 : XGB REGRESSOR"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean Squared Error: 1.4978611499941304e-07\n",
      "Predicted Risk Scores for the Test Data:\n",
      "[4.5348261e-04 4.5348261e-04 9.9974310e-01 9.9974310e-01 4.5348261e-04]\n",
      "R-squared (R²) Accuracy: 0.9999994039535522\n",
      "Cross-validated MSE: 0.19976802247761344\n"
     ]
    }
   ],
   "source": [
    "from sklearn.preprocessing import LabelEncoder\n",
    "from xgboost import XGBRegressor\n",
    "from sklearn.metrics import mean_squared_error\n",
    "import pandas as pd\n",
    "\n",
    "# Initialize LabelEncoder\n",
    "label_encoder = LabelEncoder()\n",
    "\n",
    "# Combine the training and test data\n",
    "combined_data = pd.concat([X_train['state'], X_test['state']], ignore_index=True)\n",
    "\n",
    "# Fit the encoder on the combined dataset\n",
    "label_encoder.fit(combined_data)\n",
    "\n",
    "# Transform both training and testing data\n",
    "X_train['state'] = label_encoder.transform(X_train['state'])\n",
    "X_test['state'] = label_encoder.transform(X_test['state'])\n",
    "\n",
    "# Initialize and train the model\n",
    "model = XGBRegressor(n_estimators=1000, learning_rate=0.01, random_state=42)\n",
    "model.fit(X_train, y_train)\n",
    "\n",
    "# Make predictions\n",
    "y_pred = model.predict(X_test)\n",
    "\n",
    "# Evaluate the model\n",
    "mse = mean_squared_error(y_test, y_pred)\n",
    "print(f\"Mean Squared Error: {mse}\")\n",
    "print(\"Predicted Risk Scores for the Test Data:\")\n",
    "print(y_pred)\n",
    "\n",
    "from sklearn.metrics import r2_score\n",
    "r2 = r2_score(y_test, y_pred)\n",
    "print(f\"R-squared (R²) Accuracy: {r2}\")\n",
    "\n",
    "\n",
    "from sklearn.model_selection import cross_val_score\n",
    "cv_scores = cross_val_score(model, X_train, y_train, cv=5, scoring='neg_mean_squared_error')\n",
    "print(f\"Cross-validated MSE: {-cv_scores.mean()}\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "CONCLUSION : Both models are performing well but the models might be overfitting. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "TRYING TO FIND THE BEST PARAMETERS and optimized MSE and R for readmission rate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:58] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:58] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:58] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:58] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:58] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:58] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:58] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:58] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:58] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:58] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:58] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:12:59] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "24/12/05 16:13:00 WARN GarbageCollectionMetrics: To enable non-built-in garbage collector(s) List(G1 Concurrent GC), users should configure it(them) to spark.eventLog.gcMetrics.youngGenerationGarbageCollectors or spark.eventLog.gcMetrics.oldGenerationGarbageCollectors\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:00] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:01] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:02] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/numpy/ma/core.py:2820: RuntimeWarning: invalid value encountered in cast\n",
      "  _data = np.array(data, dtype=dtype, copy=copy,\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:03] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"regressor__max_depth\", \"regressor__max_features\", \"regressor__min_samples_leaf\", \"regressor__min_samples_split\", \"regressor__n_estimators\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best parameters found:  {'regressor__max_depth': 10, 'regressor__max_features': 'sqrt', 'regressor__min_samples_leaf': 2, 'regressor__min_samples_split': 2, 'regressor__n_estimators': 100}\n",
      "Optimized Mean Squared Error: 1.4978611499941304e-07\n",
      "Optimized R-squared (R²) Accuracy: 0.9999994039535522\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import GridSearchCV\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "\n",
    "# Define the parameter grid for Random Forest\n",
    "param_grid = {\n",
    "    'regressor__n_estimators': [100, 200, 300],\n",
    "    'regressor__max_depth': [10, 15, 20],\n",
    "    'regressor__min_samples_split': [2, 5, 10],\n",
    "    'regressor__min_samples_leaf': [2, 4, 6],\n",
    "    'regressor__max_features': ['sqrt', 'log2']  # Removed 'auto'\n",
    "}\n",
    "\n",
    "# Create the GridSearchCV object\n",
    "grid_search = GridSearchCV(model, param_grid, cv=5, n_jobs=-1, scoring='neg_mean_squared_error')\n",
    "\n",
    "# Fit the model\n",
    "grid_search.fit(X_train, y_train)\n",
    "\n",
    "# Get the best parameters\n",
    "print(\"Best parameters found: \", grid_search.best_params_)\n",
    "\n",
    "# Use the best model from grid search\n",
    "best_model = grid_search.best_estimator_\n",
    "\n",
    "# Evaluate the best model\n",
    "y_pred = best_model.predict(X_test)\n",
    "mse = mean_squared_error(y_test, y_pred)\n",
    "r2 = r2_score(y_test, y_pred)\n",
    "\n",
    "print(f\"Optimized Mean Squared Error: {mse}\")\n",
    "print(f\"Optimized R-squared (R²) Accuracy: {r2}\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "READMISSION RATE : Identifying readmission rate helps us predict the probability of a patient returning back based on his demographic features and condiiton requirements"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "MODEL 1 : RANDOM FOREST"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean Squared Error: 0.22003036791383201\n",
      "R-squared (R²) Accuracy: 0.009863344387756046\n",
      "Predicted Readmission Rates:\n",
      "[0.52311905 0.52311905 0.66416667]\n",
      "Cross-validated MSE: 0.22844976063869998\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import train_test_split, cross_val_score\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "from sklearn.compose import ColumnTransformer\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.preprocessing import StandardScaler, OneHotEncoder\n",
    "from sklearn.impute import SimpleImputer\n",
    "from sklearn.metrics import mean_squared_error, r2_score\n",
    "\n",
    "# Join the dataframes to create a feature set for readmission prediction\n",
    "readmission_data = patient_features.alias(\"p\") \\\n",
    "    .join(encounter_features.alias(\"e\"), col(\"p.state\") == col(\"e.patient_reference\"), \"left\") \\\n",
    "    .join(claim_features.alias(\"c\"), col(\"p.state\") == col(\"c.patient_reference\"), \"left\") \\\n",
    "    .join(condition_features.alias(\"cond\"), col(\"p.state\") == col(\"cond.patient_reference\"), \"left\") \\\n",
    "    .join(procedure_features.alias(\"proc\"), col(\"p.state\") == col(\"proc.subject_reference\"), \"left\") \\\n",
    "    .join(immunization_features.alias(\"imm\"), col(\"p.state\") == col(\"imm.patient_reference\"), \"left\") \\\n",
    "    .join(diagnostic_features.alias(\"diag\"), col(\"p.state\") == col(\"diag.subject_reference\"), \"left\") \\\n",
    "    .select(\n",
    "        col(\"p.state\"),\n",
    "        col(\"p.has_chronic_conditions\"),\n",
    "        col(\"p.total_healthcare_cost\"),\n",
    "        col(\"p.age\"),\n",
    "        col(\"p.is_senior\"),\n",
    "        col(\"p.region_risk\"),\n",
    "        col(\"p.label\"),\n",
    "        col(\"e.num_encounters\"),\n",
    "        col(\"e.completed_encounters\"),\n",
    "        col(\"c.num_claims\"),\n",
    "        col(\"c.total_claim_amount\"),\n",
    "        col(\"cond.num_conditions\"),\n",
    "        col(\"proc.num_procedures\"),\n",
    "        col(\"imm.num_immunizations\"),\n",
    "        col(\"diag.num_diagnostic_reports\"),\n",
    "        col(\"e.first_encounter\"),\n",
    "        col(\"e.last_encounter\")\n",
    "    )\n",
    "\n",
    "# Fill missing values\n",
    "readmission_data = readmission_data.fillna(0)\n",
    "\n",
    "# Convert to Pandas DataFrame for model training (if needed)\n",
    "readmission_data_pd = readmission_data.toPandas()\n",
    "\n",
    "# Define X and y\n",
    "X = readmission_data_pd.drop(\"label\", axis=1)  # Remove label or other non-feature columns\n",
    "y = readmission_data_pd[\"label\"]  # Assuming 'label' represents the readmission status\n",
    "\n",
    "# Train-test split\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
    "\n",
    "# Define numeric and categorical features\n",
    "numeric_features = [\"total_healthcare_cost\", \"age\", \"region_risk\", \"num_encounters\", \"completed_encounters\",\n",
    "                    \"num_claims\", \"total_claim_amount\", \"num_conditions\", \"num_procedures\", \"num_immunizations\",\n",
    "                    \"num_diagnostic_reports\"]\n",
    "categorical_features = [\"state\", \"has_chronic_conditions\", \"is_senior\"]\n",
    "\n",
    "# Preprocessing pipelines\n",
    "numeric_transformer = Pipeline(steps=[\n",
    "    (\"imputer\", SimpleImputer(strategy=\"median\")),\n",
    "    (\"scaler\", StandardScaler())\n",
    "])\n",
    "\n",
    "categorical_transformer = Pipeline(steps=[\n",
    "    (\"imputer\", SimpleImputer(strategy=\"most_frequent\")),\n",
    "    (\"onehot\", OneHotEncoder(handle_unknown=\"ignore\"))\n",
    "])\n",
    "\n",
    "preprocessor = ColumnTransformer(\n",
    "    transformers=[\n",
    "        (\"num\", numeric_transformer, numeric_features),\n",
    "        (\"cat\", categorical_transformer, categorical_features)\n",
    "    ]\n",
    ")\n",
    "\n",
    "# Adjusted Random Forest Regressor to prevent overfitting\n",
    "model = Pipeline(steps=[\n",
    "    (\"preprocessor\", preprocessor),\n",
    "    (\"regressor\", RandomForestRegressor(\n",
    "        n_estimators=100,\n",
    "        random_state=42,\n",
    "        max_depth=10,               # Limit tree depth to prevent overfitting\n",
    "        min_samples_split=5,        # Require more samples to split a node\n",
    "        min_samples_leaf=4,         # Require more samples in leaf nodes\n",
    "        max_features=\"sqrt\"        # Use only a subset of features for each split\n",
    "    ))\n",
    "])\n",
    "\n",
    "# Train the model\n",
    "model.fit(X_train, y_train)\n",
    "\n",
    "# Evaluate the model\n",
    "y_pred = model.predict(X_test)\n",
    "\n",
    "# Metrics\n",
    "mse = mean_squared_error(y_test, y_pred)\n",
    "r2 = r2_score(y_test, y_pred)\n",
    "\n",
    "print(f\"Mean Squared Error: {mse}\")\n",
    "print(f\"R-squared (R²) Accuracy: {r2}\")\n",
    "print(\"Predicted Readmission Rates:\")\n",
    "print(y_pred)\n",
    "\n",
    "# Cross-validation for more robust evaluation\n",
    "cross_val_scores = cross_val_score(model, X, y, cv=5, scoring=\"neg_mean_squared_error\")\n",
    "print(f\"Cross-validated MSE: {-cross_val_scores.mean()}\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "TRYING TO FIND THE BEST PARAMETERS and optimized MSE and R for readmission rate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best parameters found:  {'regressor__max_depth': 10, 'regressor__max_features': 'sqrt', 'regressor__min_samples_leaf': 2, 'regressor__min_samples_split': 2, 'regressor__n_estimators': 100}\n",
      "Optimized Mean Squared Error: 0.08859379903628119\n",
      "Optimized R-squared (R²) Accuracy: 0.6013279043367347\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/anaconda3/lib/python3.12/site-packages/numpy/ma/core.py:2820: RuntimeWarning: invalid value encountered in cast\n",
      "  _data = np.array(data, dtype=dtype, copy=copy,\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import GridSearchCV\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "\n",
    "# Define the parameter grid for Random Forest\n",
    "param_grid = {\n",
    "    'regressor__n_estimators': [100, 200, 300],\n",
    "    'regressor__max_depth': [10, 15, 20],\n",
    "    'regressor__min_samples_split': [2, 5, 10],\n",
    "    'regressor__min_samples_leaf': [2, 4, 6],\n",
    "    'regressor__max_features': ['sqrt', 'log2']  # Removed 'auto'\n",
    "}\n",
    "\n",
    "# Create the GridSearchCV object\n",
    "grid_search = GridSearchCV(model, param_grid, cv=5, n_jobs=-1, scoring='neg_mean_squared_error')\n",
    "\n",
    "# Fit the model\n",
    "grid_search.fit(X_train, y_train)\n",
    "\n",
    "# Get the best parameters\n",
    "print(\"Best parameters found: \", grid_search.best_params_)\n",
    "\n",
    "# Use the best model from grid search\n",
    "best_model = grid_search.best_estimator_\n",
    "\n",
    "# Evaluate the best model\n",
    "y_pred = best_model.predict(X_test)\n",
    "mse = mean_squared_error(y_test, y_pred)\n",
    "r2 = r2_score(y_test, y_pred)\n",
    "\n",
    "print(f\"Optimized Mean Squared Error: {mse}\")\n",
    "print(f\"Optimized R-squared (R²) Accuracy: {r2}\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "MODEL 2 : XGB"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:13] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"max_features\", \"min_samples_leaf\", \"min_samples_split\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:13] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"max_features\", \"min_samples_leaf\", \"min_samples_split\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:13] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"max_features\", \"min_samples_leaf\", \"min_samples_split\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:13] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"max_features\", \"min_samples_leaf\", \"min_samples_split\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:13] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"max_features\", \"min_samples_leaf\", \"min_samples_split\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n",
      "/opt/anaconda3/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:13:13] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n",
      "Parameters: { \"max_features\", \"min_samples_leaf\", \"min_samples_split\" } are not used.\n",
      "\n",
      "  warnings.warn(smsg, UserWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean Squared Error: 6.585674100932968e-08\n",
      "R-squared (R²) Accuracy: 0.9999997019767761\n",
      "Predicted Readmission Rates:\n",
      "[2.8054745e-04 2.8054745e-04 9.9979961e-01]\n",
      "Cross-validated MSE: 0.06662724150156493\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from sklearn.model_selection import train_test_split, cross_val_score\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.compose import ColumnTransformer\n",
    "from sklearn.preprocessing import StandardScaler, OneHotEncoder\n",
    "from sklearn.impute import SimpleImputer\n",
    "from sklearn.metrics import mean_squared_error, r2_score\n",
    "import xgboost as xgb\n",
    "\n",
    "# Join the dataframes to create a feature set for readmission prediction\n",
    "readmission_data = patient_features.alias(\"p\") \\\n",
    "    .join(encounter_features.alias(\"e\"), col(\"p.state\") == col(\"e.patient_reference\"), \"left\") \\\n",
    "    .join(claim_features.alias(\"c\"), col(\"p.state\") == col(\"c.patient_reference\"), \"left\") \\\n",
    "    .join(condition_features.alias(\"cond\"), col(\"p.state\") == col(\"cond.patient_reference\"), \"left\") \\\n",
    "    .join(procedure_features.alias(\"proc\"), col(\"p.state\") == col(\"proc.subject_reference\"), \"left\") \\\n",
    "    .join(immunization_features.alias(\"imm\"), col(\"p.state\") == col(\"imm.patient_reference\"), \"left\") \\\n",
    "    .join(diagnostic_features.alias(\"diag\"), col(\"p.state\") == col(\"diag.subject_reference\"), \"left\") \\\n",
    "    .select(\n",
    "        col(\"p.state\"),\n",
    "        col(\"p.has_chronic_conditions\"),\n",
    "        col(\"p.total_healthcare_cost\"),\n",
    "        col(\"p.age\"),\n",
    "        col(\"p.is_senior\"),\n",
    "        col(\"p.region_risk\"),\n",
    "        col(\"p.label\"),\n",
    "        col(\"e.num_encounters\"),\n",
    "        col(\"e.completed_encounters\"),\n",
    "        col(\"c.num_claims\"),\n",
    "        col(\"c.total_claim_amount\"),\n",
    "        col(\"cond.num_conditions\"),\n",
    "        col(\"proc.num_procedures\"),\n",
    "        col(\"imm.num_immunizations\"),\n",
    "        col(\"diag.num_diagnostic_reports\"),\n",
    "        col(\"e.first_encounter\"),\n",
    "        col(\"e.last_encounter\")\n",
    "    )\n",
    "\n",
    "# Fill missing values\n",
    "readmission_data = readmission_data.fillna(0)\n",
    "\n",
    "# Convert to Pandas DataFrame for model training (if needed)\n",
    "readmission_data_pd = readmission_data.toPandas()\n",
    "\n",
    "# Define X and y\n",
    "X = readmission_data_pd.drop(\"label\", axis=1)  # Remove label or other non-feature columns\n",
    "y = readmission_data_pd[\"label\"]  # Assuming 'label' represents the readmission status\n",
    "\n",
    "# Train-test split\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
    "\n",
    "# Define numeric and categorical features\n",
    "numeric_features = [\"total_healthcare_cost\", \"age\", \"region_risk\", \"num_encounters\", \"completed_encounters\",\n",
    "                    \"num_claims\", \"total_claim_amount\", \"num_conditions\", \"num_procedures\", \"num_immunizations\",\n",
    "                    \"num_diagnostic_reports\"]\n",
    "categorical_features = [\"state\", \"has_chronic_conditions\", \"is_senior\"]\n",
    "\n",
    "# Preprocessing pipelines\n",
    "numeric_transformer = Pipeline(steps=[\n",
    "    (\"imputer\", SimpleImputer(strategy=\"median\")),\n",
    "    (\"scaler\", StandardScaler())\n",
    "])\n",
    "\n",
    "categorical_transformer = Pipeline(steps=[\n",
    "    (\"imputer\", SimpleImputer(strategy=\"most_frequent\")),\n",
    "    (\"onehot\", OneHotEncoder(handle_unknown=\"ignore\"))\n",
    "])\n",
    "\n",
    "preprocessor = ColumnTransformer(\n",
    "    transformers=[\n",
    "        (\"num\", numeric_transformer, numeric_features),\n",
    "        (\"cat\", categorical_transformer, categorical_features)\n",
    "    ]\n",
    ")\n",
    "\n",
    "# Adjusted XGBRegressor to prevent overfitting\n",
    "model = Pipeline(steps=[\n",
    "    (\"preprocessor\", preprocessor),\n",
    "    (\"regressor\", xgb.XGBRegressor(\n",
    "        n_estimators=100,\n",
    "        random_state=42,\n",
    "        max_depth=10,               # Limit tree depth to prevent overfitting\n",
    "        min_samples_split=5,        # Require more samples to split a node\n",
    "        min_samples_leaf=4,         # Require more samples in leaf nodes\n",
    "        max_features=\"sqrt\"        # Use only a subset of features for each split\n",
    "    ))\n",
    "])\n",
    "\n",
    "# Train the model\n",
    "model.fit(X_train, y_train)\n",
    "\n",
    "# Predict using the trained model\n",
    "y_pred = model.predict(X_test)\n",
    "\n",
    "# Metrics\n",
    "mse = mean_squared_error(y_test, y_pred)\n",
    "r2 = r2_score(y_test, y_pred)\n",
    "\n",
    "print(f\"Mean Squared Error: {mse}\")\n",
    "print(f\"R-squared (R²) Accuracy: {r2}\")\n",
    "print(\"Predicted Readmission Rates:\")\n",
    "print(y_pred)\n",
    "\n",
    "# Cross-validation for more robust evaluation\n",
    "cross_val_scores = cross_val_score(model, X, y, cv=5, scoring=\"neg_mean_squared_error\")\n",
    "print(f\"Cross-validated MSE: {-cross_val_scores.mean()}\")\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}