Logistic Regression.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "3c81214f-9f6a-47a9-9946-17ed80ec9e6b",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Import libraries\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import LabelEncoder, StandardScaler\n",
    "from sklearn.metrics import f1_score\n",
    "\n",
    "# Load the dataset\n",
    "df = pd.read_csv('startups_data_cleaned_step1.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f665b8c2-f7e5-46e8-91d0-39caa21fbf5c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 12306 entries, 0 to 12305\n",
      "Data columns (total 39 columns):\n",
      " #   Column                Non-Null Count  Dtype  \n",
      "---  ------                --------------  -----  \n",
      " 0   name                  12306 non-null  object \n",
      " 1   market                12306 non-null  object \n",
      " 2   funding_total_usd     12306 non-null  float64\n",
      " 3   country_code          12306 non-null  object \n",
      " 4   state_code            12301 non-null  object \n",
      " 5   region                12306 non-null  object \n",
      " 6   city                  12291 non-null  object \n",
      " 7   funding_rounds        12306 non-null  int64  \n",
      " 8   founded_at            12306 non-null  object \n",
      " 9   founded_month         12306 non-null  int64  \n",
      " 10  founded_quarter       12306 non-null  int64  \n",
      " 11  founded_year          12306 non-null  int64  \n",
      " 12  first_funding_at      12306 non-null  object \n",
      " 13  last_funding_at       12306 non-null  object \n",
      " 14  seed                  12306 non-null  int64  \n",
      " 15  venture               12306 non-null  int64  \n",
      " 16  equity_crowdfunding   12306 non-null  int64  \n",
      " 17  undisclosed           12306 non-null  int64  \n",
      " 18  convertible_note      12306 non-null  int64  \n",
      " 19  debt_financing        12306 non-null  int64  \n",
      " 20  angel                 12306 non-null  int64  \n",
      " 21  grant                 12306 non-null  int64  \n",
      " 22  private_equity        12306 non-null  int64  \n",
      " 23  post_ipo_equity       12306 non-null  int64  \n",
      " 24  post_ipo_debt         12306 non-null  int64  \n",
      " 25  secondary_market      12306 non-null  int64  \n",
      " 26  product_crowdfunding  12306 non-null  int64  \n",
      " 27  round_A               12306 non-null  int64  \n",
      " 28  round_B               12306 non-null  int64  \n",
      " 29  round_C               12306 non-null  int64  \n",
      " 30  round_D               12306 non-null  int64  \n",
      " 31  round_E               12306 non-null  int64  \n",
      " 32  round_F               12306 non-null  int64  \n",
      " 33  round_G               12306 non-null  int64  \n",
      " 34  round_H               12306 non-null  int64  \n",
      " 35  category_count        12306 non-null  int64  \n",
      " 36  clean_name            12306 non-null  object \n",
      " 37  is_operating          12306 non-null  int64  \n",
      " 38  category_updated      12306 non-null  object \n",
      "dtypes: float64(1), int64(27), object(11)\n",
      "memory usage: 3.7+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "be55c145-400a-454c-bcac-7f1a50ac7912",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Data Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "50b741b2-b829-4372-aecb-071340e07d82",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create copy of dataframe\n",
    "df_processed = df.copy()\n",
    "\n",
    "# Convert date columns to datetime\n",
    "date_columns = ['founded_at', 'first_funding_at', 'last_funding_at']\n",
    "for col in date_columns:\n",
    "    df_processed[col] = pd.to_datetime(df_processed[col])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "6b0f24bc-7954-49c3-86bb-de563aae74a1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create temporal features\n",
    "df_processed['days_to_first_funding'] = (df_processed['first_funding_at'] - df_processed['founded_at']).dt.days\n",
    "df_processed['funding_duration'] = (df_processed['last_funding_at'] - df_processed['first_funding_at']).dt.days\n",
    "df_processed['company_age'] = (pd.Timestamp('2024-01-01') - df_processed['founded_at']).dt.days"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "0f7c9c68-4467-4cd1-8218-cb146478c0a9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Fill NaN values\n",
    "df_processed['days_to_first_funding'] = df_processed['days_to_first_funding'].fillna(-1)\n",
    "df_processed['funding_duration'] = df_processed['funding_duration'].fillna(0)\n",
    "df_processed['company_age'] = df_processed['company_age'].fillna(-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "133db191-2cae-41e5-b0b2-09f903b78bfd",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Now check for negative values in 'days_to_first_funding'\n",
    "negative_days_to_funding = df_processed[df_processed['days_to_first_funding'] < 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "9fe006ed-74cb-4239-8d83-7be8f2dcfd71",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>founded_at</th>\n",
       "      <th>first_funding_at</th>\n",
       "      <th>days_to_first_funding</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2014-10-10</td>\n",
       "      <td>2014-10-07</td>\n",
       "      <td>-3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2014-10-01</td>\n",
       "      <td>2014-09-14</td>\n",
       "      <td>-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2014-09-18</td>\n",
       "      <td>2014-09-14</td>\n",
       "      <td>-4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2014-09-01</td>\n",
       "      <td>2013-08-06</td>\n",
       "      <td>-391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2014-09-01</td>\n",
       "      <td>2013-01-16</td>\n",
       "      <td>-593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12253</th>\n",
       "      <td>1999-01-01</td>\n",
       "      <td>1996-12-31</td>\n",
       "      <td>-731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12275</th>\n",
       "      <td>1998-11-28</td>\n",
       "      <td>1998-01-01</td>\n",
       "      <td>-331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12280</th>\n",
       "      <td>1998-01-01</td>\n",
       "      <td>1997-09-30</td>\n",
       "      <td>-93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12299</th>\n",
       "      <td>1996-01-01</td>\n",
       "      <td>1995-01-01</td>\n",
       "      <td>-365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12305</th>\n",
       "      <td>2010-01-01</td>\n",
       "      <td>2007-01-01</td>\n",
       "      <td>-1096</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>920 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      founded_at first_funding_at  days_to_first_funding\n",
       "6     2014-10-10       2014-10-07                     -3\n",
       "7     2014-10-01       2014-09-14                    -17\n",
       "12    2014-09-18       2014-09-14                     -4\n",
       "23    2014-09-01       2013-08-06                   -391\n",
       "24    2014-09-01       2013-01-16                   -593\n",
       "...          ...              ...                    ...\n",
       "12253 1999-01-01       1996-12-31                   -731\n",
       "12275 1998-11-28       1998-01-01                   -331\n",
       "12280 1998-01-01       1997-09-30                    -93\n",
       "12299 1996-01-01       1995-01-01                   -365\n",
       "12305 2010-01-01       2007-01-01                  -1096\n",
       "\n",
       "[920 rows x 3 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "negative_days_to_funding.loc[:,['founded_at','first_funding_at','days_to_first_funding']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "32095821-25e3-4252-a99f-6666d03fbdda",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Drop rows where 'days_to_first_funding' is negative\n",
    "df_processed = df_processed[df_processed['days_to_first_funding'] >= 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "f361e37b-8482-43a1-ac24-1afe04da7f84",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['name', 'market', 'funding_total_usd', 'country_code', 'state_code',\n",
       "       'region', 'city', 'funding_rounds', 'founded_at', 'founded_month',\n",
       "       'founded_quarter', 'founded_year', 'first_funding_at',\n",
       "       'last_funding_at', 'seed', 'venture', 'equity_crowdfunding',\n",
       "       'undisclosed', 'convertible_note', 'debt_financing', 'angel', 'grant',\n",
       "       'private_equity', 'post_ipo_equity', 'post_ipo_debt',\n",
       "       'secondary_market', 'product_crowdfunding', 'round_A', 'round_B',\n",
       "       'round_C', 'round_D', 'round_E', 'round_F', 'round_G', 'round_H',\n",
       "       'category_count', 'clean_name', 'is_operating', 'category_updated',\n",
       "       'days_to_first_funding', 'funding_duration', 'company_age'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_processed.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "f6e5f736-5543-434a-98aa-5982a446f6fe",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>market</th>\n",
       "      <th>funding_total_usd</th>\n",
       "      <th>country_code</th>\n",
       "      <th>state_code</th>\n",
       "      <th>region</th>\n",
       "      <th>city</th>\n",
       "      <th>funding_rounds</th>\n",
       "      <th>founded_at</th>\n",
       "      <th>founded_month</th>\n",
       "      <th>...</th>\n",
       "      <th>round_F</th>\n",
       "      <th>round_G</th>\n",
       "      <th>round_H</th>\n",
       "      <th>category_count</th>\n",
       "      <th>clean_name</th>\n",
       "      <th>is_operating</th>\n",
       "      <th>category_updated</th>\n",
       "      <th>days_to_first_funding</th>\n",
       "      <th>funding_duration</th>\n",
       "      <th>company_age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Le HerbÈ</td>\n",
       "      <td>Medical Marijuana Patients</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>USA</td>\n",
       "      <td>WA</td>\n",
       "      <td>Seattle</td>\n",
       "      <td>Seattle</td>\n",
       "      <td>1</td>\n",
       "      <td>2014-12-01</td>\n",
       "      <td>12</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>le herbè</td>\n",
       "      <td>1</td>\n",
       "      <td>Healthcare</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Kandid</td>\n",
       "      <td>Apps</td>\n",
       "      <td>1400000.0</td>\n",
       "      <td>USA</td>\n",
       "      <td>CA</td>\n",
       "      <td>SF Bay Area</td>\n",
       "      <td>San Francisco</td>\n",
       "      <td>1</td>\n",
       "      <td>2014-11-19</td>\n",
       "      <td>11</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>kandid</td>\n",
       "      <td>1</td>\n",
       "      <td>Technology</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>3330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>The Manly Man Can</td>\n",
       "      <td>Fashion</td>\n",
       "      <td>30.0</td>\n",
       "      <td>USA</td>\n",
       "      <td>MI</td>\n",
       "      <td>Detroit</td>\n",
       "      <td>Pinckney</td>\n",
       "      <td>1</td>\n",
       "      <td>2014-10-26</td>\n",
       "      <td>10</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>the manly man can</td>\n",
       "      <td>1</td>\n",
       "      <td>Fashion &amp; Lifestyle</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>MyKidsCalendar</td>\n",
       "      <td>Software</td>\n",
       "      <td>110000.0</td>\n",
       "      <td>USA</td>\n",
       "      <td>NJ</td>\n",
       "      <td>Newark</td>\n",
       "      <td>Long Valley</td>\n",
       "      <td>1</td>\n",
       "      <td>2014-10-22</td>\n",
       "      <td>10</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>mykidscalendar</td>\n",
       "      <td>1</td>\n",
       "      <td>Technology</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3358</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Peach</td>\n",
       "      <td>Fashion</td>\n",
       "      <td>500000.0</td>\n",
       "      <td>USA</td>\n",
       "      <td>CA</td>\n",
       "      <td>SF Bay Area</td>\n",
       "      <td>Berkeley</td>\n",
       "      <td>1</td>\n",
       "      <td>2014-10-19</td>\n",
       "      <td>10</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>peach</td>\n",
       "      <td>1</td>\n",
       "      <td>Fashion &amp; Lifestyle</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>3361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12300</th>\n",
       "      <td>XO Group</td>\n",
       "      <td>Media</td>\n",
       "      <td>19600000.0</td>\n",
       "      <td>USA</td>\n",
       "      <td>NY</td>\n",
       "      <td>New York City</td>\n",
       "      <td>New York</td>\n",
       "      <td>3</td>\n",
       "      <td>1996-01-01</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>xo group</td>\n",
       "      <td>1</td>\n",
       "      <td>other</td>\n",
       "      <td>0</td>\n",
       "      <td>1200</td>\n",
       "      <td>10227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12301</th>\n",
       "      <td>eBay</td>\n",
       "      <td>Business Services</td>\n",
       "      <td>6700000.0</td>\n",
       "      <td>USA</td>\n",
       "      <td>CA</td>\n",
       "      <td>SF Bay Area</td>\n",
       "      <td>San Jose</td>\n",
       "      <td>1</td>\n",
       "      <td>1995-09-01</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>ebay</td>\n",
       "      <td>1</td>\n",
       "      <td>Business Services</td>\n",
       "      <td>639</td>\n",
       "      <td>0</td>\n",
       "      <td>10349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12302</th>\n",
       "      <td>Arkansas Children's Hospital</td>\n",
       "      <td>Biotechnology</td>\n",
       "      <td>3500000.0</td>\n",
       "      <td>USA</td>\n",
       "      <td>AR</td>\n",
       "      <td>Little Rock</td>\n",
       "      <td>Little Rock</td>\n",
       "      <td>1</td>\n",
       "      <td>2012-01-01</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>arkansas children's hospital</td>\n",
       "      <td>1</td>\n",
       "      <td>Healthcare</td>\n",
       "      <td>628</td>\n",
       "      <td>0</td>\n",
       "      <td>4383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12303</th>\n",
       "      <td>Northcentral Technical College</td>\n",
       "      <td>Education</td>\n",
       "      <td>6200000.0</td>\n",
       "      <td>USA</td>\n",
       "      <td>WI</td>\n",
       "      <td>WI - Other</td>\n",
       "      <td>Antigo</td>\n",
       "      <td>1</td>\n",
       "      <td>2012-01-01</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>northcentral technical college</td>\n",
       "      <td>1</td>\n",
       "      <td>Education</td>\n",
       "      <td>627</td>\n",
       "      <td>0</td>\n",
       "      <td>4383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12304</th>\n",
       "      <td>EATON</td>\n",
       "      <td>Automotive</td>\n",
       "      <td>2400000.0</td>\n",
       "      <td>USA</td>\n",
       "      <td>OH</td>\n",
       "      <td>Cleveland</td>\n",
       "      <td>Cleveland</td>\n",
       "      <td>1</td>\n",
       "      <td>2011-01-01</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>eaton</td>\n",
       "      <td>0</td>\n",
       "      <td>Transport &amp; Automotive</td>\n",
       "      <td>941</td>\n",
       "      <td>0</td>\n",
       "      <td>4748</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11386 rows × 42 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 name                        market  \\\n",
       "0                            Le HerbÈ   Medical Marijuana Patients    \n",
       "1                              Kandid                         Apps    \n",
       "2                   The Manly Man Can                      Fashion    \n",
       "3                      MyKidsCalendar                     Software    \n",
       "4                               Peach                      Fashion    \n",
       "...                               ...                           ...   \n",
       "12300                        XO Group                        Media    \n",
       "12301                            eBay            Business Services    \n",
       "12302    Arkansas Children's Hospital                Biotechnology    \n",
       "12303  Northcentral Technical College                    Education    \n",
       "12304                           EATON                   Automotive    \n",
       "\n",
       "       funding_total_usd country_code state_code         region  \\\n",
       "0               100000.0          USA         WA        Seattle   \n",
       "1              1400000.0          USA         CA    SF Bay Area   \n",
       "2                   30.0          USA         MI        Detroit   \n",
       "3               110000.0          USA         NJ         Newark   \n",
       "4               500000.0          USA         CA    SF Bay Area   \n",
       "...                  ...          ...        ...            ...   \n",
       "12300         19600000.0          USA         NY  New York City   \n",
       "12301          6700000.0          USA         CA    SF Bay Area   \n",
       "12302          3500000.0          USA         AR    Little Rock   \n",
       "12303          6200000.0          USA         WI     WI - Other   \n",
       "12304          2400000.0          USA         OH      Cleveland   \n",
       "\n",
       "                city  funding_rounds founded_at  founded_month  ...  round_F  \\\n",
       "0            Seattle               1 2014-12-01             12  ...        0   \n",
       "1      San Francisco               1 2014-11-19             11  ...        0   \n",
       "2           Pinckney               1 2014-10-26             10  ...        0   \n",
       "3        Long Valley               1 2014-10-22             10  ...        0   \n",
       "4           Berkeley               1 2014-10-19             10  ...        0   \n",
       "...              ...             ...        ...            ...  ...      ...   \n",
       "12300       New York               3 1996-01-01              1  ...        0   \n",
       "12301       San Jose               1 1995-09-01              9  ...        0   \n",
       "12302    Little Rock               1 2012-01-01              1  ...        0   \n",
       "12303         Antigo               1 2012-01-01              1  ...        0   \n",
       "12304      Cleveland               1 2011-01-01              1  ...        0   \n",
       "\n",
       "       round_G round_H category_count                      clean_name  \\\n",
       "0            0       0              3                        le herbè   \n",
       "1            0       0              1                          kandid   \n",
       "2            0       0              1               the manly man can   \n",
       "3            0       0              1                  mykidscalendar   \n",
       "4            0       0              3                           peach   \n",
       "...        ...     ...            ...                             ...   \n",
       "12300        0       0              3                        xo group   \n",
       "12301        0       0              6                            ebay   \n",
       "12302        0       0              1    arkansas children's hospital   \n",
       "12303        0       0              1  northcentral technical college   \n",
       "12304        0       0              3                           eaton   \n",
       "\n",
       "       is_operating        category_updated  days_to_first_funding  \\\n",
       "0                 1              Healthcare                      0   \n",
       "1                 1              Technology                     13   \n",
       "2                 1     Fashion & Lifestyle                      1   \n",
       "3                 1              Technology                      0   \n",
       "4                 1     Fashion & Lifestyle                      4   \n",
       "...             ...                     ...                    ...   \n",
       "12300             1                   other                      0   \n",
       "12301             1       Business Services                    639   \n",
       "12302             1              Healthcare                    628   \n",
       "12303             1               Education                    627   \n",
       "12304             0  Transport & Automotive                    941   \n",
       "\n",
       "       funding_duration  company_age  \n",
       "0                     0         3318  \n",
       "1                     0         3330  \n",
       "2                     0         3354  \n",
       "3                     0         3358  \n",
       "4                     0         3361  \n",
       "...                 ...          ...  \n",
       "12300              1200        10227  \n",
       "12301                 0        10349  \n",
       "12302                 0         4383  \n",
       "12303                 0         4383  \n",
       "12304                 0         4748  \n",
       "\n",
       "[11386 rows x 42 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_processed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "d9854d27-e1ed-4852-8dcb-5310d70d171d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Selected features (reduced set)\n",
    "selected_features = [\n",
    "    'funding_total_usd',\n",
    "    'funding_rounds',\n",
    "    'days_to_first_funding',\n",
    "    'funding_duration',\n",
    "    'category_count',\n",
    "    'company_age'\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "7c7b7db0-2b0b-4e81-922b-31ed04b0bb52",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Encode categorical variables (reduced set)\n",
    "categorical_features = ['category_updated', 'state_code']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "8c2362a3-2aad-45f6-bc61-5efaf9115467",
   "metadata": {},
   "outputs": [],
   "source": [
    "# One-Hot Encoding with pandas\n",
    "df_processed = pd.get_dummies(df_processed, columns=categorical_features, drop_first=False)\n",
    "\n",
    "# Identify dummy columns\n",
    "dummy_columns = [col for col in df_processed.columns if any(prefix in col for prefix in categorical_features)]\n",
    "\n",
    "# Update feature_columns\n",
    "feature_columns = selected_features + dummy_columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "ee043059-239a-484f-845d-52ca169a6fda",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['funding_total_usd',\n",
       " 'funding_rounds',\n",
       " 'days_to_first_funding',\n",
       " 'funding_duration',\n",
       " 'category_count',\n",
       " 'company_age',\n",
       " 'category_updated_Business Services',\n",
       " 'category_updated_Education',\n",
       " 'category_updated_Energy & Environment',\n",
       " 'category_updated_Fashion & Lifestyle',\n",
       " 'category_updated_Finance',\n",
       " 'category_updated_Healthcare',\n",
       " 'category_updated_Media & Entertainment',\n",
       " 'category_updated_Retail & E-Commerce',\n",
       " 'category_updated_Technology',\n",
       " 'category_updated_Transport & Automotive',\n",
       " 'category_updated_other',\n",
       " 'state_code_AK',\n",
       " 'state_code_AL',\n",
       " 'state_code_AR',\n",
       " 'state_code_AZ',\n",
       " 'state_code_CA',\n",
       " 'state_code_CO',\n",
       " 'state_code_CT',\n",
       " 'state_code_DC',\n",
       " 'state_code_DE',\n",
       " 'state_code_FL',\n",
       " 'state_code_GA',\n",
       " 'state_code_HI',\n",
       " 'state_code_IA',\n",
       " 'state_code_ID',\n",
       " 'state_code_IL',\n",
       " 'state_code_IN',\n",
       " 'state_code_KS',\n",
       " 'state_code_KY',\n",
       " 'state_code_LA',\n",
       " 'state_code_MA',\n",
       " 'state_code_MD',\n",
       " 'state_code_ME',\n",
       " 'state_code_MI',\n",
       " 'state_code_MN',\n",
       " 'state_code_MO',\n",
       " 'state_code_MS',\n",
       " 'state_code_MT',\n",
       " 'state_code_NC',\n",
       " 'state_code_ND',\n",
       " 'state_code_NE',\n",
       " 'state_code_NH',\n",
       " 'state_code_NJ',\n",
       " 'state_code_NM',\n",
       " 'state_code_NV',\n",
       " 'state_code_NY',\n",
       " 'state_code_OH',\n",
       " 'state_code_OK',\n",
       " 'state_code_OR',\n",
       " 'state_code_PA',\n",
       " 'state_code_RI',\n",
       " 'state_code_SC',\n",
       " 'state_code_SD',\n",
       " 'state_code_TN',\n",
       " 'state_code_TX',\n",
       " 'state_code_UT',\n",
       " 'state_code_VA',\n",
       " 'state_code_VT',\n",
       " 'state_code_WA',\n",
       " 'state_code_WI',\n",
       " 'state_code_WV',\n",
       " 'state_code_WY']"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "feature_columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "946c23d6-b15c-474c-86bb-5e5c92ea18e8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create feature matrix\n",
    "X = df_processed[feature_columns]\n",
    "y = df_processed['is_operating']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "5c41d551-7b37-4e95-8a48-a367907b89e0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>funding_total_usd</th>\n",
       "      <th>funding_rounds</th>\n",
       "      <th>days_to_first_funding</th>\n",
       "      <th>funding_duration</th>\n",
       "      <th>category_count</th>\n",
       "      <th>company_age</th>\n",
       "      <th>category_updated_Business Services</th>\n",
       "      <th>category_updated_Education</th>\n",
       "      <th>category_updated_Energy &amp; Environment</th>\n",
       "      <th>category_updated_Fashion &amp; Lifestyle</th>\n",
       "      <th>...</th>\n",
       "      <th>state_code_SD</th>\n",
       "      <th>state_code_TN</th>\n",
       "      <th>state_code_TX</th>\n",
       "      <th>state_code_UT</th>\n",
       "      <th>state_code_VA</th>\n",
       "      <th>state_code_VT</th>\n",
       "      <th>state_code_WA</th>\n",
       "      <th>state_code_WI</th>\n",
       "      <th>state_code_WV</th>\n",
       "      <th>state_code_WY</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>100000.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>3318</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1400000.0</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3330</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>30.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3354</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>110000.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3358</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>500000.0</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>3361</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12300</th>\n",
       "      <td>19600000.0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1200</td>\n",
       "      <td>3</td>\n",
       "      <td>10227</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12301</th>\n",
       "      <td>6700000.0</td>\n",
       "      <td>1</td>\n",
       "      <td>639</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>10349</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12302</th>\n",
       "      <td>3500000.0</td>\n",
       "      <td>1</td>\n",
       "      <td>628</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4383</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12303</th>\n",
       "      <td>6200000.0</td>\n",
       "      <td>1</td>\n",
       "      <td>627</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4383</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12304</th>\n",
       "      <td>2400000.0</td>\n",
       "      <td>1</td>\n",
       "      <td>941</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>4748</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11386 rows × 68 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       funding_total_usd  funding_rounds  days_to_first_funding  \\\n",
       "0               100000.0               1                      0   \n",
       "1              1400000.0               1                     13   \n",
       "2                   30.0               1                      1   \n",
       "3               110000.0               1                      0   \n",
       "4               500000.0               1                      4   \n",
       "...                  ...             ...                    ...   \n",
       "12300         19600000.0               3                      0   \n",
       "12301          6700000.0               1                    639   \n",
       "12302          3500000.0               1                    628   \n",
       "12303          6200000.0               1                    627   \n",
       "12304          2400000.0               1                    941   \n",
       "\n",
       "       funding_duration  category_count  company_age  \\\n",
       "0                     0               3         3318   \n",
       "1                     0               1         3330   \n",
       "2                     0               1         3354   \n",
       "3                     0               1         3358   \n",
       "4                     0               3         3361   \n",
       "...                 ...             ...          ...   \n",
       "12300              1200               3        10227   \n",
       "12301                 0               6        10349   \n",
       "12302                 0               1         4383   \n",
       "12303                 0               1         4383   \n",
       "12304                 0               3         4748   \n",
       "\n",
       "       category_updated_Business Services  category_updated_Education  \\\n",
       "0                                   False                       False   \n",
       "1                                   False                       False   \n",
       "2                                   False                       False   \n",
       "3                                   False                       False   \n",
       "4                                   False                       False   \n",
       "...                                   ...                         ...   \n",
       "12300                               False                       False   \n",
       "12301                                True                       False   \n",
       "12302                               False                       False   \n",
       "12303                               False                        True   \n",
       "12304                               False                       False   \n",
       "\n",
       "       category_updated_Energy & Environment  \\\n",
       "0                                      False   \n",
       "1                                      False   \n",
       "2                                      False   \n",
       "3                                      False   \n",
       "4                                      False   \n",
       "...                                      ...   \n",
       "12300                                  False   \n",
       "12301                                  False   \n",
       "12302                                  False   \n",
       "12303                                  False   \n",
       "12304                                  False   \n",
       "\n",
       "       category_updated_Fashion & Lifestyle  ...  state_code_SD  \\\n",
       "0                                     False  ...          False   \n",
       "1                                     False  ...          False   \n",
       "2                                      True  ...          False   \n",
       "3                                     False  ...          False   \n",
       "4                                      True  ...          False   \n",
       "...                                     ...  ...            ...   \n",
       "12300                                 False  ...          False   \n",
       "12301                                 False  ...          False   \n",
       "12302                                 False  ...          False   \n",
       "12303                                 False  ...          False   \n",
       "12304                                 False  ...          False   \n",
       "\n",
       "       state_code_TN  state_code_TX  state_code_UT  state_code_VA  \\\n",
       "0              False          False          False          False   \n",
       "1              False          False          False          False   \n",
       "2              False          False          False          False   \n",
       "3              False          False          False          False   \n",
       "4              False          False          False          False   \n",
       "...              ...            ...            ...            ...   \n",
       "12300          False          False          False          False   \n",
       "12301          False          False          False          False   \n",
       "12302          False          False          False          False   \n",
       "12303          False          False          False          False   \n",
       "12304          False          False          False          False   \n",
       "\n",
       "       state_code_VT  state_code_WA  state_code_WI  state_code_WV  \\\n",
       "0              False           True          False          False   \n",
       "1              False          False          False          False   \n",
       "2              False          False          False          False   \n",
       "3              False          False          False          False   \n",
       "4              False          False          False          False   \n",
       "...              ...            ...            ...            ...   \n",
       "12300          False          False          False          False   \n",
       "12301          False          False          False          False   \n",
       "12302          False          False          False          False   \n",
       "12303          False          False           True          False   \n",
       "12304          False          False          False          False   \n",
       "\n",
       "       state_code_WY  \n",
       "0              False  \n",
       "1              False  \n",
       "2              False  \n",
       "3              False  \n",
       "4              False  \n",
       "...              ...  \n",
       "12300          False  \n",
       "12301          False  \n",
       "12302          False  \n",
       "12303          False  \n",
       "12304          False  \n",
       "\n",
       "[11386 rows x 68 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "58ea6745-e663-4ac3-a2d4-bceb859149bb",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Build the Logistic Regression Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "7e9d0c2d-09b8-4f2a-beb5-d5a7b891db45",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Confusion Matrix:\n",
      "[[   0  364]\n",
      " [   4 1910]]\n",
      "Accuracy: 0.84\n",
      "True Positive Rate (TPR): 1.00\n",
      "False Positive Rate (FPR): 1.00\n",
      "Precision: 0.84\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.metrics import confusion_matrix, accuracy_score, precision_score, roc_curve\n",
    "\n",
    "# Train-test split (80% train, 20% test)\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42, stratify=y)\n",
    "\n",
    "# Initialize Logistic Regression model\n",
    "model = LogisticRegression()\n",
    "\n",
    "# Train the model\n",
    "model.fit(X_train, y_train)\n",
    "\n",
    "# Make predictions on the test set\n",
    "y_pred = model.predict(X_test)\n",
    "\n",
    "# Confusion Matrix\n",
    "conf_matrix = confusion_matrix(y_test, y_pred)\n",
    "print(\"Confusion Matrix:\")\n",
    "print(conf_matrix)\n",
    "\n",
    "# Evaluation Metrics\n",
    "# Accuracy\n",
    "accuracy = accuracy_score(y_test, y_pred)\n",
    "print(f\"Accuracy: {accuracy:.2f}\")\n",
    "\n",
    "# True Positive Rate (TPR) or Recall\n",
    "TP = conf_matrix[1, 1]\n",
    "FN = conf_matrix[1, 0]\n",
    "TPR = TP / (TP + FN) if (TP + FN) > 0 else 0\n",
    "print(f\"True Positive Rate (TPR): {TPR:.2f}\")\n",
    "\n",
    "# False Positive Rate (FPR)\n",
    "FP = conf_matrix[0, 1]\n",
    "TN = conf_matrix[0, 0]\n",
    "FPR = FP / (FP + TN) if (FP + TN) > 0 else 0\n",
    "print(f\"False Positive Rate (FPR): {FPR:.2f}\")\n",
    "\n",
    "# Precision\n",
    "precision = precision_score(y_test, y_pred)\n",
    "print(f\"Precision: {precision:.2f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "8c63bc96-0ecb-47cd-b19a-91fb9af37fbb",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Since the data is very imbalanced, check the distributions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "24e0ab72-86d3-46b5-a0cd-e374c5cd032b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training Set Distribution:\n",
      "is_operating\n",
      "1    0.840031\n",
      "0    0.159969\n",
      "Name: proportion, dtype: float64\n",
      "\n",
      "Test Set Distribution:\n",
      "is_operating\n",
      "1    0.840211\n",
      "0    0.159789\n",
      "Name: proportion, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "print(\"Training Set Distribution:\")\n",
    "print(y_train.value_counts(normalize=True))\n",
    "print(\"\\nTest Set Distribution:\")\n",
    "print(y_test.value_counts(normalize=True))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "57ec6fc1-f4f8-4cbf-823c-acc1c3d07072",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Before balancing the dataset, scale the data to account for any feature scaling issues \n",
    "\n",
    "# Initialize the scaler\n",
    "scaler = StandardScaler()\n",
    "\n",
    "# Fit the scaler on X_train and transform it\n",
    "X_train_scaled = scaler.fit_transform(X_train)\n",
    "\n",
    "# Transform X_test using the same scaler\n",
    "X_test_scaled = scaler.transform(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "0da74e7f-2d38-431b-9f53-d69424a63ba0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Confusion Matrix:\n",
      "[[ 272   92]\n",
      " [ 430 1484]]\n",
      "Accuracy: 0.77\n",
      "True Positive Rate (TPR): 0.78\n",
      "False Positive Rate (FPR): 0.25\n",
      "Precision: 0.94\n",
      "F1 Score: 0.85\n"
     ]
    }
   ],
   "source": [
    "#Applying the class weights as follows\n",
    "\n",
    "# Train the model on the scaled data\n",
    "balanced_model = LogisticRegression(class_weight='balanced', random_state=42)\n",
    "balanced_model.fit(X_train_scaled, y_train)\n",
    "\n",
    "# Predict on the scaled test data\n",
    "y_pred = balanced_model.predict(X_test_scaled)\n",
    "\n",
    "#Evaluation Metrics\n",
    "conf_matrix = confusion_matrix(y_test, y_pred)\n",
    "print(\"Confusion Matrix:\")\n",
    "print(conf_matrix)\n",
    "\n",
    "accuracy = accuracy_score(y_test, y_pred)\n",
    "print(f\"Accuracy: {accuracy:.2f}\")\n",
    "\n",
    "# True Positive Rate (Recall)\n",
    "TP = conf_matrix[1, 1]\n",
    "FN = conf_matrix[1, 0]\n",
    "TPR = TP / (TP + FN) if (TP + FN) > 0 else 0\n",
    "print(f\"True Positive Rate (TPR): {TPR:.2f}\")\n",
    "\n",
    "# False Positive Rate\n",
    "FP = conf_matrix[0, 1]\n",
    "TN = conf_matrix[0, 0]\n",
    "FPR = FP / (FP + TN) if (FP + TN) > 0 else 0\n",
    "print(f\"False Positive Rate (FPR): {FPR:.2f}\")\n",
    "\n",
    "# Precision\n",
    "precision = precision_score(y_test, y_pred)\n",
    "print(f\"Precision: {precision:.2f}\")\n",
    "\n",
    "#F1 score\n",
    "f1 = f1_score(y_test, y_pred)\n",
    "print(f\"F1 Score: {f1:.2f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "3e81caef-3766-481d-8905-861f86487f96",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get predicted probabilities for the positive class (class 1)\n",
    "y_pred_proba = balanced_model.predict_proba(X_test_scaled)[:, 1]  # This gives the probability for class 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "8bfd246f-2bfa-4b76-9b8f-8624a7e34014",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.metrics import roc_curve, roc_auc_score\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Compute ROC curve\n",
    "fpr, tpr, thresholds = roc_curve(y_test, y_pred_proba)\n",
    "\n",
    "# Compute AUC\n",
    "auc_value = roc_auc_score(y_test, y_pred_proba)\n",
    "\n",
    "# Plot ROC curve\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.plot(fpr, tpr, label=f\"ROC Curve (AUC = {auc_value:.2f})\", color='blue')\n",
    "plt.plot([0, 1], [0, 1], '--', label='Baseline Model', color='red')  # Dashed red line for Baseline Model\n",
    "plt.title(\"Receiver Operating Characteristic (ROC) Curve\", fontsize=16)\n",
    "plt.xlabel(\"False Positive Rate (FPR)\", fontsize=14)\n",
    "plt.ylabel(\"True Positive Rate (TPR)\", fontsize=14)\n",
    "plt.legend(loc=\"lower right\", fontsize=12)\n",
    "plt.grid(alpha=0.4)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "3f5e6259-7846-4028-8e54-08cf47a3c84d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.metrics import precision_recall_curve\n",
    "\n",
    "# Compute precision-recall curve\n",
    "precision, recall, thresholds = precision_recall_curve(y_test, y_pred_proba)\n",
    "\n",
    "# Plot Precision-Recall curve\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.plot(recall, precision, label=\"Precision-Recall Curve\", color=\"blue\")\n",
    "plt.title(\"Precision-Recall Curve\", fontsize=16)\n",
    "plt.xlabel(\"Recall\", fontsize=14)\n",
    "plt.ylabel(\"Precision\", fontsize=14)\n",
    "plt.legend()\n",
    "plt.grid(alpha=0.4)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "e9a4e993-4ef2-498a-8e4d-639329838c5f",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#Check the feature importance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "d22e0cbe-4c3b-4d80-aeef-82adf121f030",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get the coefficients\n",
    "coefficients = balanced_model.coef_[0]  # for binary classification, model.coef_ is a 2D array, we select the first row"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "4a5a5667-ac94-4e1c-8005-98ce1dc15e60",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                  Feature  Coefficient  abs_coeff\n",
      "5             company_age    -1.704918   1.704918\n",
      "3        funding_duration     0.934416   0.934416\n",
      "2   days_to_first_funding     0.769953   0.769953\n",
      "33          state_code_KS     0.318575   0.318575\n",
      "43          state_code_MT     0.254463   0.254463\n",
      "..                    ...          ...        ...\n",
      "49          state_code_NM     0.007301   0.007301\n",
      "56          state_code_RI     0.004750   0.004750\n",
      "25          state_code_DE     0.003460   0.003460\n",
      "42          state_code_MS     0.002583   0.002583\n",
      "44          state_code_NC    -0.002411   0.002411\n",
      "\n",
      "[68 rows x 3 columns]\n"
     ]
    }
   ],
   "source": [
    "# Create a DataFrame for easy visualization\n",
    "feature_importance = pd.DataFrame({\n",
    "    'Feature': X_train.columns,  # Column names from your training data\n",
    "    'Coefficient': coefficients\n",
    "})\n",
    "\n",
    "# Sort by the absolute value of the coefficients to identify the most important features\n",
    "feature_importance['abs_coeff'] = feature_importance['Coefficient'].abs()\n",
    "feature_importance = feature_importance.sort_values(by='abs_coeff', ascending=False)\n",
    "\n",
    "# Display the sorted features\n",
    "print(feature_importance[['Feature', 'Coefficient', 'abs_coeff']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "f27e564f-d0f3-4352-bb1e-a6ea7f471a10",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['funding_total_usd', 'funding_rounds', 'days_to_first_funding',\n",
       "       'funding_duration', 'category_count', 'company_age',\n",
       "       'category_updated_Business Services', 'category_updated_Education',\n",
       "       'category_updated_Energy & Environment',\n",
       "       'category_updated_Fashion & Lifestyle', 'category_updated_Finance',\n",
       "       'category_updated_Healthcare', 'category_updated_Media & Entertainment',\n",
       "       'category_updated_Retail & E-Commerce', 'category_updated_Technology',\n",
       "       'category_updated_Transport & Automotive', 'category_updated_other',\n",
       "       'state_code_AK', 'state_code_AL', 'state_code_AR', 'state_code_AZ',\n",
       "       'state_code_CA', 'state_code_CO', 'state_code_CT', 'state_code_DC',\n",
       "       'state_code_DE', 'state_code_FL', 'state_code_GA', 'state_code_HI',\n",
       "       'state_code_IA', 'state_code_ID', 'state_code_IL', 'state_code_IN',\n",
       "       'state_code_KS', 'state_code_KY', 'state_code_LA', 'state_code_MA',\n",
       "       'state_code_MD', 'state_code_ME', 'state_code_MI', 'state_code_MN',\n",
       "       'state_code_MO', 'state_code_MS', 'state_code_MT', 'state_code_NC',\n",
       "       'state_code_ND', 'state_code_NE', 'state_code_NH', 'state_code_NJ',\n",
       "       'state_code_NM', 'state_code_NV', 'state_code_NY', 'state_code_OH',\n",
       "       'state_code_OK', 'state_code_OR', 'state_code_PA', 'state_code_RI',\n",
       "       'state_code_SC', 'state_code_SD', 'state_code_TN', 'state_code_TX',\n",
       "       'state_code_UT', 'state_code_VA', 'state_code_VT', 'state_code_WA',\n",
       "       'state_code_WI', 'state_code_WV', 'state_code_WY'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "a78c0c70-8a4c-4a33-8109-8e2c61cd9af7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "# Sort the features by the absolute value of the coefficient to highlight the most important ones\n",
    "feature_importance_sorted = feature_importance.sort_values(by='abs_coeff', ascending=False)\n",
    "\n",
    "# Set up the figure and axis\n",
    "plt.figure(figsize=(12, 8))\n",
    "\n",
    "# Plot bars with color-coding for positive and negative coefficients\n",
    "colors = ['green' if coef > 0 else 'red' for coef in feature_importance_sorted['Coefficient']]\n",
    "\n",
    "# Create horizontal bar plot\n",
    "bars = plt.barh(feature_importance_sorted['Feature'], feature_importance_sorted['Coefficient'], color=colors)\n",
    "\n",
    "# Add labels to the bars (show coefficient values)\n",
    "for bar in bars:\n",
    "    plt.text(bar.get_width(), bar.get_y() + bar.get_height() / 2,\n",
    "             f'{bar.get_width():.2f}', va='center', ha='left', color='black', fontsize=12)\n",
    "\n",
    "# Adding labels and title\n",
    "plt.xlabel(\"Coefficient Value\", fontsize=14)\n",
    "plt.title(\"Feature Importance in Logistic Regression (Sorted by Absolute Coefficients)\", fontsize=16)\n",
    "\n",
    "# Adding a vertical line at 0 for better distinction between positive and negative coefficients\n",
    "plt.axvline(x=0, color='gray', linestyle='--', linewidth=1)\n",
    "\n",
    "# Show the plot\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "1d55a121-38ee-4cd2-baeb-47ba5c213e65",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Selected Top 10 Features: ['company_age', 'funding_duration', 'days_to_first_funding', 'state_code_KS', 'state_code_MT', 'category_updated_Healthcare', 'state_code_AR', 'funding_rounds', 'state_code_CA', 'category_updated_other']\n"
     ]
    }
   ],
   "source": [
    "#Select top 10 features\n",
    "top_n = 10 \n",
    "selected_features_top_10 = feature_importance_sorted.head(top_n)['Feature'].tolist()\n",
    "print(\"Selected Top 10 Features:\", selected_features_top_10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "463e3eb7-17ea-470d-90bb-49bf6d19a786",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Confusion Matrix:\n",
      "[[ 252   99]\n",
      " [ 415 1512]]\n",
      "Accuracy: 0.77\n",
      "True Positive Rate (TPR): 0.78\n",
      "False Positive Rate (FPR): 0.28\n",
      "Precision: 0.94\n",
      "F1 Score: 0.85\n"
     ]
    }
   ],
   "source": [
    "#Build a model using these selected features\n",
    "\n",
    "# Subset the dataset to only include the selected features\n",
    "X_selected = X[selected_features]\n",
    "\n",
    "# Split the dataset into training and test sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X_selected, y, test_size=0.2, random_state=42)\n",
    "\n",
    "# Initialize the scaler\n",
    "scaler = StandardScaler()\n",
    "\n",
    "# Scale the data\n",
    "X_train_scaled = scaler.fit_transform(X_train)\n",
    "X_test_scaled = scaler.transform(X_test)\n",
    "\n",
    "# Create and train the Logistic Regression model\n",
    "new_model = LogisticRegression(max_iter=1000, solver='liblinear', class_weight='balanced')  # Increase max_iter and use solver='liblinear'\n",
    "new_model.fit(X_train_scaled, y_train)\n",
    "\n",
    "# Predict and evaluate the model\n",
    "y_pred = new_model.predict(X_test_scaled)\n",
    "\n",
    "# Evaluate performance\n",
    "conf_matrix = confusion_matrix(y_test, y_pred)\n",
    "print(\"Confusion Matrix:\")\n",
    "print(confusion_matrix(y_test, y_pred))\n",
    "\n",
    "# Evaluation Metrics\n",
    "# Accuracy\n",
    "accuracy = accuracy_score(y_test, y_pred)\n",
    "print(f\"Accuracy: {accuracy:.2f}\")\n",
    "\n",
    "# True Positive Rate (TPR) or Recall\n",
    "TP = conf_matrix[1, 1]\n",
    "FN = conf_matrix[1, 0]\n",
    "TPR = TP / (TP + FN) if (TP + FN) > 0 else 0\n",
    "print(f\"True Positive Rate (TPR): {TPR:.2f}\")\n",
    "\n",
    "# False Positive Rate (FPR)\n",
    "FP = conf_matrix[0, 1]\n",
    "TN = conf_matrix[0, 0]\n",
    "FPR = FP / (FP + TN) if (FP + TN) > 0 else 0\n",
    "print(f\"False Positive Rate (FPR): {FPR:.2f}\")\n",
    "\n",
    "# Precision\n",
    "precision = precision_score(y_test, y_pred)\n",
    "print(f\"Precision: {precision:.2f}\")\n",
    "\n",
    "#F1 score\n",
    "f1 = f1_score(y_test, y_pred)\n",
    "print(f\"F1 Score: {f1:.2f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "aa36e438-3aee-4c51-a00d-2694e4c02471",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get predicted probabilities for the positive class (class 1)\n",
    "y_pred_proba = new_model.predict_proba(X_test_scaled)[:, 1]  # This gives the probability for class 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "0163e0fe-bf2a-4df7-9fa2-a0b56a7dcf8d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.metrics import roc_curve, roc_auc_score\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Compute ROC curve\n",
    "fpr, tpr, thresholds = roc_curve(y_test, y_pred_proba)\n",
    "\n",
    "# Compute AUC\n",
    "auc_value = roc_auc_score(y_test, y_pred_proba)\n",
    "\n",
    "# Plot ROC curve\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.plot(fpr, tpr, label=f\"ROC Curve (AUC = {auc_value:.2f})\", color='blue')\n",
    "plt.plot([0, 1], [0, 1], '--', label='Baseline Model', color='red')  # Dashed red line for Baseline Model\n",
    "plt.title(\"Receiver Operating Characteristic (ROC) Curve\", fontsize=16)\n",
    "plt.xlabel(\"False Positive Rate (FPR)\", fontsize=14)\n",
    "plt.ylabel(\"True Positive Rate (TPR)\", fontsize=14)\n",
    "plt.legend(loc=\"lower right\", fontsize=12)\n",
    "plt.grid(alpha=0.4)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "0b8fba87-117d-4719-829e-59d594bb7f4e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.metrics import precision_recall_curve\n",
    "\n",
    "# Compute precision-recall curve\n",
    "precision, recall, thresholds = precision_recall_curve(y_test, y_pred_proba)\n",
    "\n",
    "# Plot Precision-Recall curve\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.plot(recall, precision, label=\"Precision-Recall Curve\", color=\"blue\")\n",
    "plt.title(\"Precision-Recall Curve\", fontsize=16)\n",
    "plt.xlabel(\"Recall\", fontsize=14)\n",
    "plt.ylabel(\"Precision\", fontsize=14)\n",
    "plt.legend()\n",
    "plt.grid(alpha=0.4)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "d7453182-3adb-46c7-a651-2b93084bd5c0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Selected Features based on Coefficient Threshold: ['company_age', 'funding_duration', 'days_to_first_funding']\n"
     ]
    }
   ],
   "source": [
    "#Select features based on a threshold to see for any improvement in any evaluation metric\n",
    "#Set a threshold based on the absolute value of coefficients\n",
    "\n",
    "threshold = 0.5  \n",
    "selected_features = feature_importance_sorted[feature_importance_sorted['abs_coeff'] > threshold]['Feature'].tolist()\n",
    "print(\"Selected Features based on Coefficient Threshold:\", selected_features)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "a6a9ead8-afdc-4143-86be-93682b763485",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Confusion Matrix:\n",
      "[[ 249  102]\n",
      " [ 408 1519]]\n",
      "Accuracy: 0.78\n",
      "True Positive Rate (TPR): 0.79\n",
      "False Positive Rate (FPR): 0.29\n",
      "Precision: 0.94\n",
      "F1 Score: 0.86\n"
     ]
    }
   ],
   "source": [
    "#Build a model using these selected features\n",
    "\n",
    "# Subset the dataset to only include the selected features\n",
    "X_selected = X[selected_features]\n",
    "\n",
    "# Split the dataset into training and test sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X_selected, y, test_size=0.2, random_state=42)\n",
    "\n",
    "# Initialize the scaler\n",
    "scaler = StandardScaler()\n",
    "\n",
    "# Scale the data\n",
    "X_train_scaled = scaler.fit_transform(X_train)\n",
    "X_test_scaled = scaler.transform(X_test)\n",
    "\n",
    "# Create and train the Logistic Regression model\n",
    "new_model = LogisticRegression(max_iter=1000, solver='liblinear', class_weight='balanced')  # Increase max_iter and use solver='liblinear'\n",
    "new_model.fit(X_train_scaled, y_train)\n",
    "\n",
    "# Predict and evaluate the model\n",
    "y_pred = new_model.predict(X_test_scaled)\n",
    "\n",
    "# Evaluate performance\n",
    "conf_matrix = confusion_matrix(y_test, y_pred)\n",
    "print(\"Confusion Matrix:\")\n",
    "print(confusion_matrix(y_test, y_pred))\n",
    "\n",
    "# Evaluation Metrics\n",
    "# Accuracy\n",
    "accuracy = accuracy_score(y_test, y_pred)\n",
    "print(f\"Accuracy: {accuracy:.2f}\")\n",
    "\n",
    "# True Positive Rate (TPR) or Recall\n",
    "TP = conf_matrix[1, 1]\n",
    "FN = conf_matrix[1, 0]\n",
    "TPR = TP / (TP + FN) if (TP + FN) > 0 else 0\n",
    "print(f\"True Positive Rate (TPR): {TPR:.2f}\")\n",
    "\n",
    "# False Positive Rate (FPR)\n",
    "FP = conf_matrix[0, 1]\n",
    "TN = conf_matrix[0, 0]\n",
    "FPR = FP / (FP + TN) if (FP + TN) > 0 else 0\n",
    "print(f\"False Positive Rate (FPR): {FPR:.2f}\")\n",
    "\n",
    "# Precision\n",
    "precision = precision_score(y_test, y_pred)\n",
    "print(f\"Precision: {precision:.2f}\")\n",
    "\n",
    "#F1 score\n",
    "f1 = f1_score(y_test, y_pred)\n",
    "print(f\"F1 Score: {f1:.2f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "b399adbd-c7b4-4b78-93bc-d5635cd6424b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get predicted probabilities for the positive class (class 1)\n",
    "y_pred_proba = new_model.predict_proba(X_test_scaled)[:, 1]  # This gives the probability for class 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "id": "ce412911-30b2-4a86-b74f-7d5fe55257dd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.metrics import roc_curve, roc_auc_score\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Compute ROC curve\n",
    "fpr, tpr, thresholds = roc_curve(y_test, y_pred_proba)\n",
    "\n",
    "# Compute AUC\n",
    "auc_value = roc_auc_score(y_test, y_pred_proba)\n",
    "\n",
    "# Plot ROC curve\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.plot(fpr, tpr, label=f\"ROC Curve (AUC = {auc_value:.2f})\", color='blue')\n",
    "plt.plot([0, 1], [0, 1], '--', label='Baseline Model', color='red')  # Dashed red line for Baseline Model\n",
    "plt.title(\"Receiver Operating Characteristic (ROC) Curve\", fontsize=16)\n",
    "plt.xlabel(\"False Positive Rate (FPR)\", fontsize=14)\n",
    "plt.ylabel(\"True Positive Rate (TPR)\", fontsize=14)\n",
    "plt.legend(loc=\"lower right\", fontsize=12)\n",
    "plt.grid(alpha=0.4)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "6822c844-001b-48f6-a9eb-2a8d68caa1f1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.metrics import precision_recall_curve\n",
    "\n",
    "# Compute precision-recall curve\n",
    "precision, recall, thresholds = precision_recall_curve(y_test, y_pred_proba)\n",
    "\n",
    "# Plot Precision-Recall curve\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.plot(recall, precision, label=\"Precision-Recall Curve\", color=\"blue\")\n",
    "plt.title(\"Precision-Recall Curve\", fontsize=16)\n",
    "plt.xlabel(\"Recall\", fontsize=14)\n",
    "plt.ylabel(\"Precision\", fontsize=14)\n",
    "plt.legend()\n",
    "plt.grid(alpha=0.4)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "605beb1e-fb0f-4148-bf30-1deccac771db",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}