diff --git a/Molecular Property Prediction/Dataset/README.md b/Molecular Property Prediction/Dataset/README.md new file mode 100644 index 000000000..3a94d561f --- /dev/null +++ b/Molecular Property Prediction/Dataset/README.md @@ -0,0 +1,10 @@ +## Molecular Property Prediction & EDA - Dataset + +The dataset for this project is sourced from the "Predicting Molecular Properties" competition hosted on Kaggle, titled [CHAMPS Scalar Coupling](https://www.kaggle.com/competitions/champs-scalar-coupling/data). + +Download the following files from the above link to work on this repo: +- train.csv +- structures.csv +- potential_energy.csv +- mulliken_charges.csv +- dipole_moments.csv diff --git a/Molecular Property Prediction/Dataset/bond_lengths.csv b/Molecular Property Prediction/Dataset/bond_lengths.csv new file mode 100644 index 000000000..b6d139484 --- /dev/null +++ b/Molecular Property Prediction/Dataset/bond_lengths.csv @@ -0,0 +1,50001 @@ 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+-11.8287,-11.781679000000013,-0.04702099999998666 +-1.18837,-1.1371491800000015,-0.05122081999999839 +4.0358,3.271854939999996,0.7639450600000042 diff --git a/Molecular Property Prediction/Images/README.md b/Molecular Property Prediction/Images/README.md new file mode 100644 index 000000000..42e055662 --- /dev/null +++ b/Molecular Property Prediction/Images/README.md @@ -0,0 +1,38 @@ +## Molecular Property Prediction & EDA - Images + + +**Interactive 3D Visualization of Molecular Structures: Atoms are color-coded (H-๐ŸŸฃ, C-โšซ, O-๐Ÿ”ด, N-๐Ÿ”ต, F-๐ŸŸข)** + +![image](https://github.com/Sgvkamalakar/Sgvkamalakar/assets/103712713/055d77c0-cc81-4508-93b6-402a3f4e40dc) + +---- + +**Distribution of Unique Atom Counts in Molecules** + +![image](https://github.com/Sgvkamalakar/Sgvkamalakar/assets/103712713/642ac187-61f4-4795-a2d7-b53ac6869d39) + +---- + +**Scatter Plot of Bond Distance vs. 1st Neighbor Distance** + +![image](https://github.com/Sgvkamalakar/Sgvkamalakar/assets/103712713/b44baa28-e7ac-43c4-a0f2-b4cf35301262) + +---- + +**Visualizing the dipole moments through 2D scatter plots and 3D scatter plots.** + +![image](https://github.com/Sgvkamalakar/Sgvkamalakar/assets/103712713/5593b3a8-eed0-400e-8afe-d82952942343) + +----- + +**Exploring the distribution of potential energy values.** + +![newplot](https://github.com/Sgvkamalakar/Sgvkamalakar/assets/103712713/77e949a3-c95e-47e7-abc2-c15317d2260f) + +---- + +**Scatter Plot of Actual vs. Predicted Values Using Random Forest** + +![image](https://github.com/Sgvkamalakar/Sgvkamalakar/assets/103712713/7cec01b1-c254-4b1d-8991-f47b871387a5) + +---- diff --git a/Molecular Property Prediction/Images/img1.png b/Molecular Property Prediction/Images/img1.png new file mode 100644 index 000000000..972fe2ee6 Binary files /dev/null and b/Molecular Property Prediction/Images/img1.png differ diff --git a/Molecular Property Prediction/Images/img10.png 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index 000000000..f24cecb1c Binary files /dev/null and b/Molecular Property Prediction/Images/img7.png differ diff --git a/Molecular Property Prediction/Images/img8.png b/Molecular Property Prediction/Images/img8.png new file mode 100644 index 000000000..ab3d3ba7e Binary files /dev/null and b/Molecular Property Prediction/Images/img8.png differ diff --git a/Molecular Property Prediction/Images/img9.png b/Molecular Property Prediction/Images/img9.png new file mode 100644 index 000000000..3627ecc71 Binary files /dev/null and b/Molecular Property Prediction/Images/img9.png differ diff --git a/Molecular Property Prediction/Models/Dipole_moments_and_Potential_energy.ipynb b/Molecular Property Prediction/Models/Dipole_moments_and_Potential_energy.ipynb new file mode 100644 index 000000000..4bb415421 --- /dev/null +++ b/Molecular Property Prediction/Models/Dipole_moments_and_Potential_energy.ipynb @@ -0,0 +1,345 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "564bb8a2", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "import plotly.graph_objects as go\n", + "import plotly.express as px\n", + "import math" + ] + }, + { + "cell_type": "markdown", + "id": "27857d7a", + "metadata": {}, + "source": [ + "### Data Loading and Exploration\n", + "Load the dipole moments dataset and examine its structure and dimensions." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5a1cbe00", + "metadata": {}, + "outputs": [], + "source": [ + "dipole_df=pd.read_csv('dipole_moments.csv')\n", + "dipole_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3821d278", + "metadata": {}, + "outputs": [], + "source": [ + "dipole_df.shape" + ] + }, + { + "cell_type": "markdown", + "id": "36ee9e5a", + "metadata": {}, + "source": [ + "### Histogram for Coordinate-specific Dipole Moment Distribution\n", + "\n", + "Plot a histogram to visualize the distribution of dipole moments along X, Y and Z coordinates" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "24dae72a", + "metadata": {}, + "outputs": [], + "source": [ + "fig = px.histogram(dipole_df, x=['X', 'Y', 'Z'], barmode='overlay', histnorm='probability density', \n", + " labels={'value': 'Dipole Moment', 'variable': 'Coordinate'})\n", + "fig.update_layout(title='Coordinate specific dipole moment distribution', xaxis_title='Coordinate', yaxis_title='Probability Density')\n", + "fig.show()" + ] + }, + { + "cell_type": "markdown", + "id": "b326181b", + "metadata": {}, + "source": [ + "### Dipole Moments Distribution Along Coordinate Axes\n", + "Dipole moments' distribution along 2 axes..." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "03b42f56", + "metadata": {}, + "outputs": [], + "source": [ + "fig, ax = plt.subplots(1,3,figsize=(20,6))\n", + "ax[0].scatter(dipole_df.X.values, dipole_df.Y.values, s=0.5, alpha=0.1);\n", + "ax[0].set_xlabel(\"X\")\n", + "ax[0].set_ylabel(\"Y\")\n", + "ax[1].scatter(dipole_df.X.values, dipole_df.Z.values, s=0.5, alpha=0.1);\n", + "ax[1].set_xlabel(\"X\")\n", + "ax[1].set_ylabel(\"Z\")\n", + "ax[2].scatter(dipole_df.Y.values, dipole_df.Z.values, s=0.5, alpha=0.1);\n", + "ax[2].set_xlabel(\"Y\")\n", + "ax[2].set_ylabel(\"Z\");" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1260b210", + "metadata": {}, + "outputs": [], + "source": [ + "dipole_copy=dipole_df.copy()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "451667fd", + "metadata": {}, + "outputs": [], + "source": [ + "dipole_copy['total_dipole']=dipole_copy.X+dipole_copy.Y+dipole_copy.Z" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "73a1992a", + "metadata": {}, + "outputs": [], + "source": [ + "plt.figure(figsize=(20,6))\n", + "sns.histplot(dipole_copy['total_dipole'], kde=True);\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "1668491b", + "metadata": {}, + "source": [ + "This visualization allows for a visual assessment of the distribution of the total dipole moment values, providing insights into the range and spread of dipole moments across the molecular system" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7bf7ae1c", + "metadata": {}, + "outputs": [], + "source": [ + "dipole_copy['Magnitude'] = np.sqrt(dipole_copy['X']**2 + dipole_copy['Y']**2 + dipole_copy['Z']**2)" + ] + }, + { + "cell_type": "markdown", + "id": "ceb30255", + "metadata": {}, + "source": [ + "Below visualization provides a comprehensive view of the spatial distribution of dipole moments within the molecular system, with each point representing a specific atom's dipole moment magnitude." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cd37f03a", + "metadata": {}, + "outputs": [], + "source": [ + "fig = px.scatter_3d(dipole_copy, x='X', y='Y', z='Z', color='Magnitude', title='3D Scatter Plot of Dipole Moments with Magnitude')\n", + "fig.update_traces(marker=dict(size=3, opacity=0.5), selector=dict(mode='markers'))\n", + "fig.update_layout(coloraxis_colorbar=dict(title='Magnitude of Dipole Moment'))\n", + "fig.show()" + ] + }, + { + "cell_type": "markdown", + "id": "39cc7544", + "metadata": {}, + "source": [ + "### Potential Energy Analysis" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a079c0ad", + "metadata": {}, + "outputs": [], + "source": [ + "potential_df=pd.read_csv('potential_energy.csv')\n", + "potential_df.head()" + ] + }, + { + "cell_type": "markdown", + "id": "6cf9cc89", + "metadata": {}, + "source": [ + "Histograms visualize the distribution of potential energy across molecules." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2ca84437", + "metadata": {}, + "outputs": [], + "source": [ + "fig = px.histogram(potential_df, x='potential_energy', nbins=500,title='Distribution of Potential Energy')\n", + "fig.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1eadc783", + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.concat([dipole_copy, potential_df[['potential_energy']]], axis=1)\n", + "df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8c9167ed", + "metadata": {}, + "outputs": [], + "source": [ + "df.columns" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c9d6ed8c", + "metadata": {}, + "outputs": [], + "source": [ + "plt.figure(figsize=(10,6))\n", + "plt.hist(df['Magnitude'],bins=500)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "7d16ce52", + "metadata": {}, + "source": [ + "Scatter plots to explore potential energy in relation to dipole moments, providing insights into their potential relationship." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "35cfe421", + "metadata": {}, + "outputs": [], + "source": [ + "fig = px.scatter_3d(df, x='X', y='Y', z='Z', color='potential_energy', title='3D Scatter Plot of Dipole Moments with Potential Energy')\n", + "fig.update_traces(marker=dict(size=3, opacity=0.5), selector=dict(mode='markers'))\n", + "fig.update_layout(coloraxis_colorbar=dict(title='Potential Energy'))\n", + "fig.show()" + ] + }, + { + "cell_type": "markdown", + "id": "d2f10e4c", + "metadata": {}, + "source": [ + "Correlation analysis is performed using heatmaps and pair plots to identify relationships between dipole moments, potential energy, and their components." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ad81bd32", + "metadata": {}, + "outputs": [], + "source": [ + "plt.figure(figsize=(12, 8))\n", + "df1=df.drop(columns=['molecule_name'],axis=1)\n", + "sns.heatmap(df1.corr(), annot=True, cmap='coolwarm', vmin=-1, vmax=1)\n", + "plt.title('Correlation Heatmap')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bcc5a32e", + "metadata": {}, + "outputs": [], + "source": [ + "sns.pairplot(df[['total_dipole', 'Magnitude', 'potential_energy']])\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "f0e92050", + "metadata": {}, + "source": [ + "Box plots offer further insights into the distribution of potential energy across molecules." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b7626ec5", + "metadata": {}, + "outputs": [], + "source": [ + "fig = px.box(df, y='potential_energy',title='Box Plot of Potential Energy')\n", + "fig.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "467434f9", + "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": "3.10.4" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/Molecular Property Prediction/Models/Mulliken Charge.ipynb b/Molecular Property Prediction/Models/Mulliken Charge.ipynb new file mode 100644 index 000000000..31067b27b --- /dev/null +++ b/Molecular Property Prediction/Models/Mulliken Charge.ipynb @@ -0,0 +1,191 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "253d1e94", + "metadata": {}, + "source": [ + "Mulliken charges arise from the Mulliken population analysis and provide a means of estimating partial atomic charges." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9db38bbb", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "import plotly.graph_objects as go\n", + "import plotly.express as px\n", + "import math" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4fe3ef27", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "charg_df=pd.read_csv('mulliken_charges.csv')\n", + "charg_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d69e8912", + "metadata": {}, + "outputs": [], + "source": [ + "charg_df.shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d1f7da01", + "metadata": {}, + "outputs": [], + "source": [ + "mol_df=pd.read_csv('structures.csv')\n", + "mol_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d3d131db", + "metadata": {}, + "outputs": [], + "source": [ + "mol_df.shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "baf0e5c7", + "metadata": {}, + "outputs": [], + "source": [ + "charg_df[charg_df['molecule_name']=='dsgdb9nsd_000001']" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1f464d1a", + "metadata": {}, + "outputs": [], + "source": [ + "mol_charg=charg_df.groupby('molecule_name')\n", + "mol_charg.get_group('dsgdb9nsd_000001')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5cf690f1", + "metadata": {}, + "outputs": [], + "source": [ + "charge_sum = charg_df[charg_df['molecule_name'] == 'dsgdb9nsd_000001']['mulliken_charge'].sum()\n", + "formatted_sum = \"{:.20f}\".format(charge_sum)\n", + "print(formatted_sum)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7bdba219", + "metadata": {}, + "outputs": [], + "source": [ + "fig = px.histogram(charg_df, x='mulliken_charge', nbins=500,title='Distribution of Mulliken Charge')\n", + "fig.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b95e0645", + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.concat([mol_df, charg_df[['mulliken_charge']]], axis=1)\n", + "df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bb368641", + "metadata": {}, + "outputs": [], + "source": [ + "sample_df=df.sample(n=200)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e8bc3990", + "metadata": {}, + "outputs": [], + "source": [ + "fig = px.scatter_3d(sample_df, x='x', y='y', z='z', color='mulliken_charge',\n", + " title='3D Scatter Plot of Spatial Coordinates with Mulliken Charge',\n", + " labels={'x': 'X Coordinate', 'y': 'Y Coordinate', 'z': 'Z Coordinate', 'color': 'Mulliken Charge'})\n", + "fig.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c5134de9", + "metadata": {}, + "outputs": [], + "source": [ + "fig = px.box(sample_df, x='atom', y='mulliken_charge',title='Box Plot of Mulliken Charge by Atom Type',\n", + " labels={'x': 'Atom Type', 'y': 'Mulliken Charge'})\n", + "fig.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bf663aa7", + "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": "3.10.4" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/Molecular Property Prediction/Models/Notebook.ipynb b/Molecular Property Prediction/Models/Notebook.ipynb new file mode 100644 index 000000000..736ea1a04 --- /dev/null +++ b/Molecular Property Prediction/Models/Notebook.ipynb @@ -0,0 +1,250362 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "b00be7de", + "metadata": {}, + "source": [ + "Import all necessary libraries" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "50038b13", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "import random\n", + "import plotly.express as px\n", + "import plotly.graph_objects as go\n", + "from IPython.display import Image\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.linear_model import LinearRegression\n", + "from sklearn.metrics import mean_squared_error, r2_score\n", + "from tqdm import tqdm\n", + "from sklearn.metrics import mean_absolute_error, mean_squared_error, r2_score\n", + "from sklearn.ensemble import RandomForestRegressor\n", + "from sklearn.neighbors import KNeighborsRegressor\n", + "from sklearn.tree import DecisionTreeRegressor\n", + "from sklearn.svm import SVR" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "efb8f40e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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molecule_nameatom_indexatomxyz
0dsgdb9nsd_0000010C-0.0126981.0858040.008001
1dsgdb9nsd_0000011H0.002150-0.0060310.001976
2dsgdb9nsd_0000012H1.0117311.4637510.000277
3dsgdb9nsd_0000013H-0.5408151.447527-0.876644
4dsgdb9nsd_0000014H-0.5238141.4379330.906397
\n", + "
" + ], + "text/plain": [ + " molecule_name atom_index atom x y z\n", + "0 dsgdb9nsd_000001 0 C -0.012698 1.085804 0.008001\n", + "1 dsgdb9nsd_000001 1 H 0.002150 -0.006031 0.001976\n", + "2 dsgdb9nsd_000001 2 H 1.011731 1.463751 0.000277\n", + "3 dsgdb9nsd_000001 3 H -0.540815 1.447527 -0.876644\n", + "4 dsgdb9nsd_000001 4 H -0.523814 1.437933 0.906397" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df=pd.read_csv('structures.csv')\n", + "df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "4b282f68", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(2358875, 6)" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "2198cc55", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['molecule_name', 'atom_index', 'atom', 'x', 'y', 'z'], dtype='object')" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "07afa3dd", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "130789\n" + ] + } + ], + "source": [ + "molecules = df['molecule_name'].unique()\n", + "sample_data=molecules[:5]\n", + "print(len(molecules))" + ] + }, + { + "cell_type": "markdown", + "id": "1860139e", + "metadata": {}, + "source": [ + "### 2D Scatter Plots of Coordinate Pairs\n", + "\n", + "Explore the relationships between different pairs of coordinates (X, Y), (Y, Z), and (Z, X) within molecule structures. Each subplot visualizes the distribution of points in two-dimensional space, providing insights into the arrangement of atoms within the molecules." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "4d56182b", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, axes = plt.subplots(1, 3, figsize=(20, 6))\n", + "N=5000\n", + "axes[0].scatter(df['x'].values[:N], df['y'].values[:N], c=df['atom_index'].values[:N], s=30, alpha=0.2)\n", + "axes[0].set_xlabel('X', fontsize=14)\n", + "axes[0].set_ylabel('Y', fontsize=14)\n", + "axes[0].set_title('X vs Y', fontsize=16)\n", + "\n", + "axes[1].scatter(df['y'].values[:N], df['z'].values[:N], c=df['atom_index'].values[:N], s=30, alpha=0.2)\n", + "axes[1].set_xlabel('Y', fontsize=14)\n", + "axes[1].set_ylabel('Z', fontsize=14)\n", + "axes[1].set_title('Y vs Z', fontsize=16)\n", + "\n", + "axes[2].scatter(df['z'].values[:N], df['x'].values[:N], c=df['atom_index'].values[:N], s=30, alpha=0.2)\n", + "axes[2].set_xlabel('Z', fontsize=14)\n", + "axes[2].set_ylabel('X', fontsize=14)\n", + "axes[2].set_title('Z vs X', fontsize=16)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "f2fdcf5b", + "metadata": {}, + "source": [ + "### Load Training Dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "c5cc6ea5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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idmolecule_nameatom_index_0atom_index_1typescalar_coupling_constant
00dsgdb9nsd_000001101JHC84.8076
11dsgdb9nsd_000001122JHH-11.2570
22dsgdb9nsd_000001132JHH-11.2548
33dsgdb9nsd_000001142JHH-11.2543
44dsgdb9nsd_000001201JHC84.8074
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" + ], + "text/plain": [ + " id molecule_name atom_index_0 atom_index_1 type \\\n", + "0 0 dsgdb9nsd_000001 1 0 1JHC \n", + "1 1 dsgdb9nsd_000001 1 2 2JHH \n", + "2 2 dsgdb9nsd_000001 1 3 2JHH \n", + "3 3 dsgdb9nsd_000001 1 4 2JHH \n", + "4 4 dsgdb9nsd_000001 2 0 1JHC \n", + "\n", + " scalar_coupling_constant \n", + "0 84.8076 \n", + "1 -11.2570 \n", + "2 -11.2548 \n", + "3 -11.2543 \n", + "4 84.8074 " + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train_df=pd.read_csv('train.csv')\n", + "train_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "a5608fab", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array(['1JHC', '2JHH', '1JHN', '2JHN', '2JHC', '3JHH', '3JHC', '3JHN'],\n", + " dtype=object)" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train_df['type'].unique()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "f35e083e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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idmolecule_nameatom_index_0atom_index_1typescalar_coupling_constant
46569644656964dsgdb9nsd_133791901JHC89.284200
46569654656965dsgdb9nsd_133791912JHN-0.094300
46569664656966dsgdb9nsd_133791923JHC2.594360
46569674656967dsgdb9nsd_1337919102JHH-8.363710
46569684656968dsgdb9nsd_1337919112JHH-9.850870
46569694656969dsgdb9nsd_1337919123JHH1.180560
46569704656970dsgdb9nsd_1337911001JHC90.050200
46569714656971dsgdb9nsd_1337911012JHN2.188290
46569724656972dsgdb9nsd_1337911023JHC1.897850
46569734656973dsgdb9nsd_13379110112JHH-12.900900
46569744656974dsgdb9nsd_13379110123JHH11.741200
46569754656975dsgdb9nsd_1337911101JHC83.929700
46569764656976dsgdb9nsd_1337911112JHN2.195010
46569774656977dsgdb9nsd_1337911123JHC11.252000
46569784656978dsgdb9nsd_13379111123JHH2.916280
46569794656979dsgdb9nsd_1337911202JHC0.114074
46569804656980dsgdb9nsd_1337911211JHN42.184400
46569814656981dsgdb9nsd_1337911222JHC-0.398997
46569824656982dsgdb9nsd_1337911233JHC2.913770
46569834656983dsgdb9nsd_13379112133JHH0.832829
46569844656984dsgdb9nsd_13379112143JHH11.887200
46569854656985dsgdb9nsd_1337911303JHC9.042980
46569864656986dsgdb9nsd_1337911312JHN2.963110
46569874656987dsgdb9nsd_1337911321JHC83.034200
46569884656988dsgdb9nsd_1337911332JHC-0.415871
46569894656989dsgdb9nsd_1337911353JHC-0.729325
46569904656990dsgdb9nsd_13379113142JHH-17.675600
46569914656991dsgdb9nsd_1337911403JHC4.096350
46569924656992dsgdb9nsd_1337911412JHN1.452470
46569934656993dsgdb9nsd_1337911421JHC95.633100
46569944656994dsgdb9nsd_1337911432JHC-0.178789
46569954656995dsgdb9nsd_1337911453JHC-0.225104
\n", + "
" + ], + "text/plain": [ + " id molecule_name atom_index_0 atom_index_1 type \\\n", + "4656964 4656964 dsgdb9nsd_133791 9 0 1JHC \n", + "4656965 4656965 dsgdb9nsd_133791 9 1 2JHN \n", + "4656966 4656966 dsgdb9nsd_133791 9 2 3JHC \n", + "4656967 4656967 dsgdb9nsd_133791 9 10 2JHH \n", + "4656968 4656968 dsgdb9nsd_133791 9 11 2JHH \n", + "4656969 4656969 dsgdb9nsd_133791 9 12 3JHH \n", + "4656970 4656970 dsgdb9nsd_133791 10 0 1JHC \n", + "4656971 4656971 dsgdb9nsd_133791 10 1 2JHN \n", + "4656972 4656972 dsgdb9nsd_133791 10 2 3JHC \n", + "4656973 4656973 dsgdb9nsd_133791 10 11 2JHH \n", + "4656974 4656974 dsgdb9nsd_133791 10 12 3JHH \n", + "4656975 4656975 dsgdb9nsd_133791 11 0 1JHC \n", + "4656976 4656976 dsgdb9nsd_133791 11 1 2JHN \n", + "4656977 4656977 dsgdb9nsd_133791 11 2 3JHC \n", + "4656978 4656978 dsgdb9nsd_133791 11 12 3JHH \n", + "4656979 4656979 dsgdb9nsd_133791 12 0 2JHC \n", + "4656980 4656980 dsgdb9nsd_133791 12 1 1JHN \n", + "4656981 4656981 dsgdb9nsd_133791 12 2 2JHC \n", + "4656982 4656982 dsgdb9nsd_133791 12 3 3JHC \n", + "4656983 4656983 dsgdb9nsd_133791 12 13 3JHH \n", + "4656984 4656984 dsgdb9nsd_133791 12 14 3JHH \n", + "4656985 4656985 dsgdb9nsd_133791 13 0 3JHC \n", + "4656986 4656986 dsgdb9nsd_133791 13 1 2JHN \n", + "4656987 4656987 dsgdb9nsd_133791 13 2 1JHC \n", + "4656988 4656988 dsgdb9nsd_133791 13 3 2JHC \n", + "4656989 4656989 dsgdb9nsd_133791 13 5 3JHC \n", + "4656990 4656990 dsgdb9nsd_133791 13 14 2JHH \n", + "4656991 4656991 dsgdb9nsd_133791 14 0 3JHC \n", + "4656992 4656992 dsgdb9nsd_133791 14 1 2JHN \n", + "4656993 4656993 dsgdb9nsd_133791 14 2 1JHC \n", + "4656994 4656994 dsgdb9nsd_133791 14 3 2JHC \n", + "4656995 4656995 dsgdb9nsd_133791 14 5 3JHC \n", + "\n", + " scalar_coupling_constant \n", + "4656964 89.284200 \n", + "4656965 -0.094300 \n", + "4656966 2.594360 \n", + "4656967 -8.363710 \n", + "4656968 -9.850870 \n", + "4656969 1.180560 \n", + "4656970 90.050200 \n", + "4656971 2.188290 \n", + "4656972 1.897850 \n", + "4656973 -12.900900 \n", + "4656974 11.741200 \n", + "4656975 83.929700 \n", + "4656976 2.195010 \n", + "4656977 11.252000 \n", + "4656978 2.916280 \n", + "4656979 0.114074 \n", + "4656980 42.184400 \n", + "4656981 -0.398997 \n", + "4656982 2.913770 \n", + "4656983 0.832829 \n", + "4656984 11.887200 \n", + "4656985 9.042980 \n", + "4656986 2.963110 \n", + "4656987 83.034200 \n", + "4656988 -0.415871 \n", + "4656989 -0.729325 \n", + "4656990 -17.675600 \n", + "4656991 4.096350 \n", + "4656992 1.452470 \n", + "4656993 95.633100 \n", + "4656994 -0.178789 \n", + "4656995 -0.225104 " + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train_df[train_df['molecule_name']=='dsgdb9nsd_133791']" + ] + }, + { + "cell_type": "markdown", + "id": "fb91f33f", + "metadata": {}, + "source": [ + "#### Molecular Geometry Standardization\n", + "\n", + "This code snippet defines a function `standardizer` that standardizes the molecular geometry by transforming the coordinates of the atoms in a molecule. This standardization helps in creating a consistent representation of molecules..\n", + "\n", + "The `standardizer` function processes molecular data by centering the coordinates on a reference atom, normalizing by the bond distance, and applying rotations to achieve a standardized orientation. \n", + "\n", + "It extracts the atom types and coordinates for a given molecule, normalizes and rotates these coordinates to a consistent frame, and calculates the distances and types of the nearest neighboring atoms. \n", + "\n", + "This standardization facilitates consistent feature extraction for machine learning models, enabling accurate predictions of scalar coupling constants.." + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "eeaf9721", + "metadata": {}, + "outputs": [], + "source": [ + "np_xyz = df[['x','y','z']].values.astype('float32')\n", + "mp = {'H':0,'C':1,'O':2,'N':3,'F':4}\n", + "np_atoms = df['atom'].map(mp).values.astype('int8')\n", + "ss = df.groupby('molecule_name').size()\n", + "ss = ss.cumsum()\n", + "ssx = np.zeros(len(ss) + 1, 'int')\n", + "ssx[1:] = ss; ssx[0] = 0\n", + "np_dict = {}\n", + "for k in range(len(ss)):\n", + " np_dict[ss.index[k]] = k\n", + "\n", + "def standardizer(mol_name, t1, t2, phi2=0, a_count=0):\n", + " atom_df = np_atoms[ ssx[np_dict[mol_name]]:ssx[np_dict[mol_name]+1] ]\n", + " mol_df = np_xyz[ ssx[np_dict[mol_name]]:ssx[np_dict[mol_name]+1], ].copy()\n", + " mol_df -= mol_df[t1,]\n", + " bond_dist = np.sqrt(mol_df[t2,].dot(mol_df[t2,])).astype('float32')\n", + " mol_df /= bond_dist\n", + " \n", + " if mol_df[t2,0]==0: theta = np.sign(mol_df[t2,2])*np.pi/2\n", + " else: theta = np.arctan(mol_df[t2,2]/mol_df[t2,0])\n", + " M = np.array([[np.cos(-theta),-np.sin(-theta)],[np.sin(-theta),np.cos(-theta)]])\n", + " mol_df[:,[0,2]] = (M.dot(mol_df[:,[0,2]].T)).T \n", + " \n", + " if mol_df[t2,0]==0: phi = np.sign(mol_df[t2,1])*np.pi/2\n", + " else: phi = np.arctan(mol_df[t2,1]/mol_df[t2,0])\n", + " if mol_df[t2,0] < 0: phi += np.pi\n", + " M = np.array([[np.cos(-phi),-np.sin(-phi)],[np.sin(-phi),np.cos(-phi)]])\n", + " mol_df[:,[0,1]] = (M.dot(mol_df[:,[0,1]].T)).T \n", + " \n", + " M = np.array([[np.cos(-phi2),-np.sin(-phi2)],[np.sin(-phi2),np.cos(-phi2)]])\n", + " mol_df[:,[1,2]] = (M.dot(mol_df[:,[1,2]].T)).T \n", + " \n", + " neighbor_types = [np.nan]*a_count\n", + " neighbor_dists = [np.nan]*a_count\n", + " if a_count>0:\n", + " dst = np.sum( (mol_df-[1,0,0])*(mol_df-[1,0,0]), axis=1 )\n", + " dst[t1] = 1e3; dst[t2] = 1e3\n", + " idst = np.argsort(dst)\n", + " ln = np.min((len(idst)-2,a_count))\n", + " neighbor_types[:ln] = atom_df[idst[:ln]]\n", + " neighbor_dists[:ln] = dst[idst[:ln]]\n", + " \n", + " return (atom_df, mol_df, bond_dist, neighbor_types, neighbor_dists)" + ] + }, + { + "cell_type": "markdown", + "id": "1518df7c", + "metadata": {}, + "source": [ + "The `plot` function visualizes molecular structures with atoms represented as markers and bonds between them as lines. It takes the index of a molecule (`ind`) from the dataset and an optional parameter to display bonds (`display_bonds`). \n", + "\n", + "The function standardizes the molecule's geometry and adjusts the scale based on the bond type. It then iterates over 16 frames, each representing a rotation of the molecule, and creates traces for atoms and bonds. \n", + "\n", + "Atoms are color-coded based on their types (H-๐ŸŸฃ, C-โšซ, O-๐Ÿ”ด, N-๐Ÿ”ต, F-๐ŸŸข) and their count in the molecule. \n", + "\n", + "The resulting 3D plot is interactive and shows the molecule from different angles. The function is called iteratively to visualize a random selection of molecules." + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "c4a1b092", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'H': 7, 'C': 5, 'N': 1, 'O': 1}\n" + ] + }, + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "line": { + "color": "black" + }, + "mode": "lines", + "showlegend": false, + "type": "scatter3d", + "x": [ + 3.3313024044036865, + 2.621654987335205, + null + ], + "y": [ + 2.8841965198516846, + 1.8606821298599243, + null + ], + "z": [ + 2.4571797847747803, + 2.855196237564087, + null + ] + }, + { + "line": { + "color": "black" + }, + "mode": "lines", + "showlegend": false, + "type": "scatter3d", + "x": [ + 3.3313024044036865, + 2.8164443969726562, + null + ], + "y": [ + 2.8841965198516846, + 3.3724122047424316, + null + ], + "z": [ + 2.4571797847747803, + 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "def plot(ind,display_bonds=True):\n", + " atoms = ['H', 'C', 'O', 'N', 'F']\n", + " colors = ['purple', 'black', 'red', 'blue', 'green']\n", + " sizes = [2, 6, 5, 4, 3]\n", + " \n", + " mol_name = train_df.loc[ind, 'molecule_name']\n", + " atom1 = train_df.loc[ind, 'atom_index_0']\n", + " atom2 = train_df.loc[ind, 'atom_index_1']\n", + " btype = train_df.loc[ind, 'type']\n", + " frames = []\n", + " scl = 1.0\n", + " traces=[]\n", + " for x, _ in enumerate(np.linspace(0, 2 * np.pi, 16)):\n", + " atom_df, mol_df, dis, _, _ = standardizer(mol_name, atom1, atom2)\n", + " if x == 0:\n", + " mxx = np.sqrt(np.max(mol_df[:, 1]**2 + mol_df[:, 2]**2))\n", + " if btype[0] == '2':\n", + " mxx *= 1.5\n", + " elif btype[0] == '3':\n", + " mxx *= 2.0\n", + " if mxx < 0.1:\n", + " scl = 100\n", + " else:\n", + " scl = 87. * (1 + 0.2 * (4 - mxx)) / mxx\n", + " if display_bonds:\n", + " scl= 4\n", + " \n", + " all = []\n", + " if display_bonds:\n", + " ds = mol_df[:, None, :] - mol_df\n", + " dist = np.sqrt(np.einsum('ijk,ijk->ij', ds, ds))\n", + " dist = (dist < 1.65 / dis).astype(np.int8)\n", + " for k in range(len(mol_df)):\n", + " for kk in range(k + 1, len(mol_df)):\n", + " if dist[k, kk] == 1:\n", + " x_values = [mol_df[k, 0], mol_df[kk, 0], None]\n", + " y_values = [mol_df[k, 1], mol_df[kk, 1], None]\n", + " z_values = [mol_df[k, 2], mol_df[kk, 2], None]\n", + " pp = go.Scatter3d(x=x_values, y=y_values, z=z_values, mode='lines', line=dict(color='black'), showlegend=False)\n", + " all.append(pp)\n", + " \n", + " mol_df = np.concatenate([mol_df, atom_df.reshape((-1, 1))], axis=1)\n", + " midx = np.argsort(mol_df[:, 2], axis=0)\n", + " mol_df = mol_df[midx, ]\n", + " atom_df = mol_df[:, 3].astype('int8')\n", + " atom_count={}\n", + " for k in range(len(mol_df)):\n", + " atom = atoms[atom_df[k]]\n", + " atom_count[atom]=atom_count.get(atom,0)+1\n", + " size = scl * sizes[atom_df[k]]\n", + " marker = dict(size=size, color=colors[atom_df[k]], opacity=0.8)\n", + " trace = go.Scatter3d(x=[mol_df[k, 0]], y=[mol_df[k, 1]], z=[mol_df[k, 2]], mode='markers', marker=marker, name=atom+str(atom_count[atom]))\n", + " all.append(trace)\n", + " frames.append(all)\n", + " traces.append(trace)\n", + " print(atom_count)\n", + " fig = go.Figure(data=frames[0])\n", + " \n", + " fig.update_layout(\n", + " scene=dict(\n", + " xaxis_title='X',\n", + " yaxis_title='Y',\n", + " zaxis_title='Z'\n", + " )\n", + " )\n", + " \n", + " frames_data = [go.Frame(data=frame) for frame in frames]\n", + " fig.frames = frames_data\n", + " title=f'Molecle Name - {mol_name}'\n", + " fig.update_layout(title=title)\n", + " fig.show()\n", + "\n", + "for i in range(10): \n", + " rand_idx=random.randint(0,len(molecules))\n", + " plot(rand_idx)\n" + ] + }, + { + "cell_type": "markdown", + "id": "27003054", + "metadata": {}, + "source": [ + "#### Histogram of Unique Atom Counts in each Molecule\n", + "\n", + "The 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "unique_df=df.groupby('molecule_name')['atom'].nunique().reset_index()\n", + "\n", + "unique_df.columns = ['molecule_name', 'count']\n", + "\n", + "fig = px.histogram(unique_df, x='count', nbins=6, title='Histogram of Unique Atom Counts in Molecules')\n", + "\n", + "fig.update_layout(\n", + " xaxis_title='Unique Atom Count',\n", + " yaxis_title='Frequency',\n", + " bargap=0.5, \n", + " width=800,\n", + " height=600\n", + ")\n", + "\n", + "fig.show()\n" + ] + }, + { + "cell_type": "markdown", + "id": "c17b5c57", + "metadata": {}, + "source": [ + "### Scalar Coupling Constant\n", + "\n", + "The scalar coupling constant represents the strength of the magnetic interaction between two atoms in a molecule. It arises from the coupling between the nuclear spins of these atoms, leading to a splitting of energy levels in nuclear magnetic resonance (NMR) spectroscopy. " + ] + }, + { + "cell_type": "markdown", + "id": "5beaaf4f", + "metadata": {}, + "source": [ + "### Feature Extraction\n", + "The code randomly samples 50,000 rows from the `train_df` DataFrame, then iterates through each sample to compute bond distances, neighboring atom types, and distances. These features are concatenated into an array `X`, while the corresponding scalar coupling constants are stored in array `y`." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "8ad282a1", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Processing: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 50000/50000 [00:30<00:00, 1640.18it/s]\n" + ] + } + ], + "source": [ + "sample_df = train_df.sample(n=50000, random_state=42)\n", + "bond_dists = np.zeros((len(sample_df), 1))\n", + "neighbor_types = np.zeros((len(sample_df), 4))\n", + "neighbor_dists = np.zeros((len(sample_df), 4))\n", + "bond_names = []\n", + "\n", + "for i, k in enumerate(tqdm(sample_df.index, desc=\"Processing\")):\n", + "# print(k)\n", + " bond_names.append(k)\n", + " _, _, a, b, c = standardizer(\n", + " train_df.molecule_name[k], \n", + " train_df.atom_index_0[k], \n", + " train_df.atom_index_1[k], \n", + " a_count=4\n", + " )\n", + " bond_dists[i] = a\n", + " neighbor_types[i, :] = b\n", + " neighbor_dists[i, :] = c\n", + "\n", + "X = np.concatenate([bond_dists, neighbor_types, neighbor_dists], axis=1)\n", + "y = sample_df['scalar_coupling_constant'].values\n", + "data = np.concatenate([X, y.reshape(-1, 1)], axis=1)\n", + "columns = [f'feature_{i+1}' for i in range(X.shape[1])] + ['scalar_coupling_constant']\n", + "bond_df = pd.DataFrame(data, columns=columns)\n", + "bond_df.to_csv('bond_lengths.csv', index=False)" + ] + }, + { + "cell_type": "markdown", + "id": "0ca3fa7e", + "metadata": {}, + "source": [ + "For each sample, it standardizes the molecular structure using the standardizer function, extracting bond distances (a), neighboring atom types (b), and distances (c). These features are then concatenated into an array X.\n", + "\n", + "This feature extraction process aims to capture essential molecular features related to bond distances and neighboring atoms, which can help in predicting scalar coupling constants accurately." + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "id": "1ff8be80", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " feature_1 feature_2 feature_3 feature_4 feature_5 feature_6 \\\n", + "0 2.698469 0.0 1.0 3.0 1.0 0.160881 \n", + "1 2.216625 3.0 1.0 1.0 1.0 0.433716 \n", + "2 2.171630 3.0 1.0 1.0 1.0 0.458773 \n", + "3 1.108998 2.0 1.0 0.0 1.0 1.176351 \n", + "4 2.157284 0.0 0.0 2.0 1.0 0.256646 \n", + "\n", + " feature_7 feature_8 feature_9 scalar_coupling_constant \n", + "0 0.297002 0.313543 0.327659 0.327952 \n", + "1 0.457616 0.462435 0.491205 -1.189010 \n", + "2 0.460827 0.501887 0.515226 -1.724910 \n", + "3 1.890627 3.629743 5.012600 125.406000 \n", + "4 0.261427 0.434588 0.505627 -2.638650 " + ] + }, + "execution_count": 64, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "bond_df=pd.read_csv('bond_lengths.csv')\n", + "bond_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "id": "0073177e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "feature_1 0\n", + "feature_2 0\n", + "feature_3 0\n", + "feature_4 0\n", + "feature_5 1\n", + "feature_6 0\n", + "feature_7 0\n", + "feature_8 0\n", + "feature_9 1\n", + "scalar_coupling_constant 0\n", + "dtype: int64" + ] + }, + "execution_count": 65, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "bond_df.isna().sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "id": "045da34c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(49999, 10)" + ] + }, + "execution_count": 66, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "bond_df1=bond_df.dropna()\n", + "bond_df1.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "id": "090f9ad4", + "metadata": {}, + "outputs": [], + "source": [ + "X=bond_df1.drop(columns=['scalar_coupling_constant'])\n", + "y=bond_df1['scalar_coupling_constant']\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "id": "48e4bc04", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "((39999, 9), (10000, 9))" + ] + }, + "execution_count": 68, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "X_train.shape,X_test.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "id": "30ed6070", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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7uhEiIiIiIiKyM9lulemg2SvGwVClmnT+2wUeDArbEZ06Ys4+4AFxZMRVxwLwOEujSMVABTDDQ6cSxd0fgIiIiIiIiOwUyewVUzt7oRsKOoyDYhjgAVja37dcvz8bGWGjzm3R2n2bV9USGcDwhniCg1sScAisFoc45/BDut6PiIiIiIiI7DzRbjToQEGHcTBnRlq80cHS2EJD3MqhGkM1iimEnV9clz16O0HoxNV6sQiPgWHDqiFeiGpRjdgdM3jcXt0N4RAREREREZGdxzFlOkh3/rpsBdA64GDUsx28uSLkGGYUphGGEXFk4IaXjWBjAasFIUIIHQ/SrAeDreXyjhyKiIiIiIiITLBYmQ7Sjd5SsaEkp6eRhnzwYVpfgWIh7Gq7C/rm0t9bZlO5kMxWsSXEqobltuwREHgyQ0bgHLJgwY4cioiIiIiIiEwgd4iU6SDdmN5TBCAOaZwPJIYgAgze+fwzut7uPn3zMDOKhSrlcg9BOWgIOADJ8xg8BOsx9pg+bfsPRERERERERCbc7jS8YvfJ6ZhAD2zcBCQdfyz3CJJAhAdw8a33dL3ddUNb6Qkr9PeXGbMOZQA+5Ny3fn3X+xEREREREZGpzcy+bmaPmtmtudf+08xWmtmN6eOZuffeZWb3mtldZvb0iWqXgg7jYKCS1FEYEavKBR4uu/MBVm3Y3NV2Hy2vYt+Z65leGqZUqOAFx1tFH4L0MbPKW3/5u+04AhEREREREdkZkkKSQVePDn0TeEaL1//b3Y9OH78DMLPDgZcAR6TrfMHMuqsH0CEFHcbB3nNnt33PkxqQFIOAG5Y93NV2Z/RUk9kwAwgGA+JiUigiCzx49r++KFmh6Ny1YQ1fufqa7T0UERERERERmWAR1tWjE+5+GdBp6vtzgB+6+7C7LwPuBU7YvqMZnYIO4+B1px0PtB8BkSQ8GHOn9XW13f2mLWLNtn4e3TSDKA7o7S8T9cbERScqxsQlJ+6L8Cj5GIO1JTxwPn/lX6jG8Q4ckYiIiIiIiEwEJ6np0M0DmG9m1+Yer+9il+eZ2c3p8Is56WuLgYdyy6xIXxt3CjqMg7MOP4gwqSVZnx4z9yCCYhjyhKX7dLXdI2YcwcpNc+ktVtjzwPXMX7yJvpmDUEjqR3gIToBnO6qAlQPi2Fm5sbuhHCIiIiIiIrIzbNfwirXufnzucX6HO/sicCBwNLAK+OTEHFN7CjqMAzPj4AULGgINtYCDg8VAwIiZJ8Zy+er7CCxmZv8wGKxfP43Bzf2AYZZMnWlYUkQydrI9VOIqs/t6x/UYRUREREREZHzEWFeP7eXuq909cvcY+Ar1IRQrgfxd8b3T18adgg7j5PH7LsILEPdB1Jd8jUtpwMGgXI24bcXqrra5enALs/oHAdi4pY/BjaMMz0gzHwCiEDYMDW7nkYiIiIiIiMhEcYfIravH9jKzRbmnzwOymS1+BbzEzHrMbH9gKfDX7d7RKBR0GCcL50/HizROmRkmwQcMwiBgYLjc1TZPXbg/PcUq7rBtoDcZRtGGYbXpM2J33nXBRdt3ICIiIiIiIjKhJmL2CjP7AXA1cIiZrTCz1wEfM7NbzOxm4CnAWwHc/Tbgx8DtwAXAP7p7NBHHWpiIje6OvvfXm0bOmWn17IPYnaP2WzRivdEcOGMhAY674YD1RrCtzQXnJMMsDMzgupUPM1yt0lPQRywiIiIiIrKrSKbM3P7shbbbdX9pi5e/NsryHwQ+OO4NaaIe6ThZs3Wg7XthaLzvBU+lr1TsapuOs62cpE8EQQx9RuwRDDRNn+oObrg5WFLXITAjsPG/kEVERERERGTH7EidhqlGQYdxYiTJBs2XjhucfPh+POu4w7re5s0bHmRruZfAHAuSjIegP8JLMZQDPJ0V0wYCyM2QWQgCTj9gf4ph2HrDIiIiIiIiMimyKTN3Fwo6jJNSX4HqYKUWeKhNnWlw4sH7btc2A0IMwz1fKAKs4MQVh8H04zOST7IKBM7imTP44NPO2pHDERERERERkQnSaZ2Gx4Ld50gn2F5zZuIFkjoOUKvnYAU449ADt2ubR87eG0hqNGC1STiTDIet6c6yRxZ4cHjvGU9h3rT+HTsgERERERERGX+e1HTo5jGVKegwTl527FH0Fgt4AbxIEoAIYOmCeew3d/Z2bXNzdQtz+gYAp1hMC4k6UB7lYzP46GWXb9f+REREREREZGI5SU2Hbh5TmYIO4+Qlxx7Fkw9aQm+hQG+xwLRSkT2mT+PzLzh3u7f5pft+TH9xmMCcMIgJClXibSFxxWg7e6bDfevWb/c+RUREREREZGLtTpkOqukwTsIg4LPPfzZ3PbqWG1Y8zMIZ03nigUsoBNsX19kwvIWr1t7CuqEZhGEEFuBbSsTZjBT9MR6DDQVYLvJlEVTCuM1WRUREREREZDJNtUKSZvYdd3/lWK+1o6DDODtkj/kcssf8Hd7OZ+/5XwYqRcAphTEDQwUq5WK+niQE4D0xNpTOUuFgGHHQNg9CREREREREJtlUCjoAR+SfmFkIHNfpyhpesYv66/rbGKqG9BaqGLBtay8jJuQ0IAR3TwIODnGP61MVERERERGRHWJm7zKzLcBRZrY5fWwBHgV+2el2lOmwi6pGgBnVOIkgxPEokbBsjs4IKIJpdIWIiIiIiMguyZkadRrc/cPAh83sw+7+ru3djoIOu6hyFOJeH0vR01tlcCBgRLaDk07P6bXhFVO8uKmIiIiIiMhj2lSakcLd32Vmi4H9yMUQ3P2yTtZX0GEXNRTFQFh7PmPmIMNDReIYkihD+kZkyafo4EHytSfU+AoREREREZFdkk+tmg5m9hHgJcDtJPn1kPRIFXSYqmKP6SlUGazWgw5h6MzfYzMDW0sMDvQQVUKIDMtdrLXv+jW+QkREREREZFc01WavAJ4HHOLuw9uz8pi3xM2s38zeY2ZfSZ8vNbNztmdn0pnlAyuYVqyMeD0MnRmzhij1lLGqYU5yxWb1HNxwnB5KO7nFIiIiIiIi0qnYravHJLsfKG7vyp1kOnwDuA44OX2+EvgJ8Jvt3enu4PrbH+I7v/oLt925iupwlVKxwEnH7M8bXv5EFu0xa9R179l8P4HB7J5BNg73NbzXXygzNL1AUNzG0Ppe4uFCOnNFUsvBzIhHxitERERERERkFzBVCknmDAA3mtkfgVq2g7u/uZOVOwk6HOjuLzazl6YbHjCzKXWGdrZv/uLPnP/jK6HstTEPw+WIP1xxJ3+58QG+8z9/y/w509uuv//0/QAohhGzeweIPUlIKVqEG0zrHWZ4Y4l4uFAvHJn7REJ9PCIiIiIiIrssn1pBh1+lj+3SSdChbGZ9pKULzexActENabR+0wBf+clVeORYAJiBOx6Cx7Bl6xD/+5vreeMrn9R2G0tn7E85Njwd/ZLEEJwqAVEUEBgs3ns9927uw+ORM1Zsq1a4bc1qjliwcEKPVURERERERLo3xWav+NaOrN/JNAfvAy4A9jGz7wF/BP5tR3b6WHbjnSuIq3FSb8GyWSbSVASDGLjk6jvH3E41DmlMYUi+d4dqZERxiE0bHpHlkKwb87GrLx+3YxIREREREZHx4T61ajqkdR3/18xuN7P7s0en64+Z6eDuF5vZ9cBJJN3bf3b3tTvQ5se06f09SWQhsHqRR/f6AgaPPLplzO0Eba6rMHA2DfZivYP091XZtrX1clesfJChapXegiYoERERERER2ZVMseEV3yBJRvhv4CnAa+gsgQE6WdDMngdU3f237v4boGpmz92+tj72HXv4PkniQeQQORY5FlN7EEMU+xhbgdBaL5PEMIz1A9OwUtQyKcdxwhCuWvXgDhyJiIiIiIiIjL/ushwmO9MB6HP3PwLm7svd/T+BZ3W6ckfDK9x9U/bE3TeSRDmkhUIYpEMqIIsbWNMDwL194GFrdSu9YZnmRWKHwXIBS3cwXC1BqYpTX9BJilcWSgFxHI/LMYmIiIiIiMj4cbeuHpNs2MwC4B4zOy9NTGg/M0KTToIOrZZRzv4oeku5wEPTe9nzex9Y03b9alylL6xQrgbpeJ903E9sBIGzYMYAvYUK7jHBzCpejHHz5BE6XkrCEKfste9EHJ6IiIiIiIhsJ2dq1XQA/hnoB94MHAe8AnhVpyt3EnS41sw+ZWYHpo9PAddtV1N3ExaMfVqXPbSu7XuzirOwAMpRgYc3zaBSDSlHIZGHBGaYwaz+YXqKEQQRQdGwXqDHKfWE9BYKfOrJZ9NfLI3jUYmIiIiIiMgOS28qd/OYZEvcfau7r3D317j784GO73B3krHwT8B7gB+lzy8G/nGslczs68A5wKPufmSL908HfgksS1/6mbt/oIP27PJKpQKDg9WW72XXy9zZ/W3XNzNCCgTE9BaqeDIpJpUoYMtAL5UopBhWKYZVytWA3zz3VWyrVLn0ofuZXizxnIMOZ9G0GeN/YCIiIiIiIrLDptKUmcC7gJ908FpLncxesQ14Z/ft4pvA54Bvj7LM5e5+znZse5f27DOP4rs/+2stIlWr45D7unT/PUbdxnP3OofPbLmEaYUyBgxXCqzZNCPdhlGuhgAUClUWT5/FzFIvxy9cPO7HIiIiIiIiIuMnmxxgV2dmZwPPBBab2Wdyb80EWt9lb6GT2SsONrPzzewiM7ske4y1nrtfBqzvtCGPJX/7NyclwYEAyM2cCeCWvD5rRt+o2zhuzgmY1QMWG7b24w2lKJOvURTyh5V3j/MRiIiIiIiIyMSYMrNXPAxcCwyRlFjIHr8Cnt7pRjoZXvET4EvAV4Go62aO7mQzu4nkYN7u7re1WsjMXg+8HmDffXf94oj9vSVmzepl86Yh3MDSa6SboTilsECMERjEMVSisMVShjusG946Hs0WERERERERAcDdbwJuMrPvu3sFwMzmAPu4+4ZOt9NJ0KHq7l/cznaO5npgP3ffambPBH4BLG21oLufD5wPcPzxx09+GY0O7Lt4LrduWQXuIwp/7L/vvDHXX9Q3NykaArWMh3YHfsSc+TvaXBEREREREdlJdoHikN242MzOJYkfXAc8amZXuftbO1m5k9krfm1mbzKzRWY2N3vsSIsB3H2zu29Nv/8dUDSzx0zvefGec3ADN4Og/vDA+IdXPKmjbfQGFSAJOkzrHWJk2MEpFqocPW+/8W28iIiIiIiITBh36+oxyWa5+2bgb4Bvu/uJwFM7XbmToMOrgX8FrqI+huPa7WhoAzPb0ywZeGBmJ6RtaT+P5BTzvDOPoqc3hKBe08EN5szt5+Sj9x9z/c2VLbgZMUkUbPa0QfpKZXJbIwhizjviJPoLPRN6LCIiIiIiIjI+kmkwp1TQoWBmi4AXAb/peuWxFnD3sXvILZjZD4DTgflmtgJ4H1BMt/kl4AXAP5hZFRgEXuI+xZJMRnHUwYt544ufyBd/dDnFQog79PUW+fS7XkAYjB3ruX7DbZTjAhAQA5gzd+YAUTREJQopVwJm9W/jvEOfMdGHIiIiIiIiIuNoEotDbo8PABcCV7j7NWZ2AHBPpyt3UtMBMzsSOBzozV5z99GmwsTdXzrG+58jmVLzMeslzzyOs590ODfftZJp/T08/pDFHQUcAO7c+GDTK8lFGYZOGFSY1VNmemHmOLdYREREREREJtpUut3u7j8hmWAie34/8PxO1x8z6GBm7yPJWDgc+B1wNnAFMGrQQRKzpvfxxOMO6nq9iJBCEFGJ89NkAjiBOQPVInNLfWypDDKjOPr0myIiIiIiIrLr2AWGTHTMzBYAfw8sIRdDcPfXdrJ+J7fdX0BSJOIRd38N8HhgVtctla4cO/dAChYTWky+joPhFIOIMITl2zbziis/z3BUmeTWioiIiIiISCec7uo57AIBil+SxAD+APw29+hIJ8MrBt09NrOqmc0EHgX22Z6WSufm9cykEDhmVWI3Ig+wdPaKGCiYQxixanATF626hWfvfezkNlhEREREREQ6MoVGVwD0u/s7tnflTjIdrjWz2cBXSGauuB64ent3KJ0px0P0FyoEBpEHgOEEOAHZxxZajFuV69cvm9S2ioiIiIiISIem3uwVvzGzZ27vyp3MXvGm9NsvmdkFwEx3v3l7dyidWTO8mp7A8aDMcDSyZoOl1101CljQo4KSIiIiIiIiU8bUSnX4Z+DdZlYGsrH97u4ddUTHzHQwsz9m37v7A+5+c/41mRhzS3OZXrAxr8XY4bp1zTNdiIiIiIiIyK5qKmU6uPsMdw/cvTf9fkanAQcYJdPBzHqBfmC+mc2hPoXCTGDxDrVaxnTkrCOZVpzGmqFB4tgwq2c3QDLFSuxQDJybN65g9eAmFvapvqeIiIiIiMiubipNmQlgZucCT0qfXuruv+l03dEyHd5AUsPh0PRr9vgl8Lnta6p0KrSQdx36Lg6cNpeBShF3Gh8AGKVClYIFPDq0ZZJbLCIiIiIiImNxplamg5l9hGSIxe3p45/N7MOdrt8208HdPw182sz+yd0/u8Mtla7N75nPhvJCYCVxbvaKRP3CizzmgBkLdnr7REREREREpEsOTH5xyG48Ezja3WMAM/sWcAPwrk5W7mT2ikfMbEa68f8ws5+ZmeZn3Enu3rKqIdQQWEwYxAQW4e4MlovsN20P+sLipLVRREREREREOjcik32Mxy5gdu77rsb1dxJ0eI+7bzGz04Azga8BX+xmJ7IjYsCoxAGFIKIURPSEVUphRE+hSuxwx8bVfOK2iye7oSIiIiIiItIJ7/IxuT4M3GBm30yzHK4DPtjpyp0EHaL067OA8939t0Cp62bKdlncNxvD6Q3LzCyWmV6s0B9WmV6oUAqrzO0fxIEfLruGbdXhyW6uiIiIiIiIPIa4+w+Ak4CfAT8FTnb3H3W6fidBh5Vm9mXgxcDvzKynw/VkHLxh6bMIg4hZPWUC89osFmbQE8S4Q2gRQ1GVFds2TnZzRUREREREZFTdFZGcrEKSZvZ0M3sBgLuvcvdfufuvgNPM7KxOt9NJ8OBFwIXA0919IzAX+NftaLNshyctOJKlM2cQpgGHvMCgL6xSjQPAuWjFHZPSRhEREREREenC1Bhe8V7gTy1evxT4QKcbaRt0MLOZ6be96UbXmdlcYBi4ttMdyI4xM46ctbDt+4XAyWay+Pydra4HERERERER2WX4lJkys8fd1zS/6O5rgWmdbmS0TIfvp1+vIwkyXJd7KOgwAdav/QAPr1zEypWLeHjlIjY88nzcnSNmHozZyPBW7LClnJXXMCxwrl69bOc2WkRERERERLozNTIdZppZoflFMysCfZ1upG3Qwd3PSb/u7+4HpF+zxwHb1WRpa/XKFzA89CV6CeknpJeQcnQ1K1fuxdP3ehJxbA3TpcQOURywbqAeYDJzrnhUQQcREREREZFdm3X5mBQ/A75iZrVOp5lNB76UvteRUWs6mFnBzJ5tZv+aPp7VKtIhOy72q+i1gMAMMyMwo0RAyQKi4Qd51+FvoBoZ5ShgsFJg3UA/962fR+TJR5gEI5wjZ+85qcchIiIiIiIiY5gamQ7/AawGlpvZdWZ2HbAMWJO+15G2AQQzWwxcAqwCbiAJr5wDfMrMnuLuD+9A4yUnigbosQBrqhRpZhQd1q49leP3fpjvn/IJfvzg7/nindewpdyTLuXpslAg5Ol7H7aTWy8iIiIiIiJdmbxAQsfcvQq808zeDxyUvnyvuw92s53RMh0+CHzR3U9397e6+1vc/cnA54EPb1erpa3REmaK6Zv9hX7+9oDn884jX0hP6JjFmDlBEFMM4Eenv56geYoLERERERER2XU44NbdowNm9nUze9TMbs29NtfMLjaze9Kvc9LXzcw+Y2b3mtnNZnZs2+a6D7r7Lemjq4ADjJLpAJzk7n/bYoefMbO7ut2RtBeG/dTnoGihKQr2vH2P48AZe/C9ZVfz4NZ1nDj/QP7+4CczrdDTen0RERERERHZZfjEZDp8E/gc8O3ca+8E/ujuHzGzd6bP3wGcDSxNHycCX0y/jrvRgg6jRTAGxrshu7vYPSkRkstUcHdinJ5pnx2x/FFz9uGoOfvsxBaKiIiIiIjIuJiAoIO7X2ZmS5pefg5wevr9t4BLSYIOzwG+7e4O/NnMZpvZIndfNd7tGi3oMMvM/qbF6wbMHO+G7O4s+CKx/wNB7uKLcWKPmTnn+ZPXMBERERERERlfHQ6ZyJlvZtfmnp/v7ud3sN7CXCDhEWBh+v1i4KHccivS10YEHdoMvdgELE/rPoxqtKDDn4Bnt3nvsrE2LN2Zt9e5DA8/mS1rDiUrtREEp7Ng8fdGXe/hbZv56bKbWDGwnpMX7sez9nkcxSDcCS0WERERERGR7WHdZzqsdffjd2Sf7u5m27Fn+AJwLHAzSRLCkcBtJIkK/+DuF422ctugg7u/ZjsaIzugp2cWPXuPnc1y/fo7+Nr9v+DGRzezZlsfhWIMwK8fvoH/uuV3fO+Jr+WQWZo6U0REREREZJezc6fBXJ0NmzCzRcCj6esrgfx4/b3T11p5GHidu98GYGaHAx8A/g34GTBq0GG02StkF3T9+jt4363nc9fm1azePI1CMSaOYHiowPBggc2DFf7+qu8QezzZTRUREREREZERupy5ovuhGHm/Al6dfv9q4Je511+VzmJxErBplHoOB2cBBwB3vx041N3v76QBCjpMMeff9zOqRGwa6CMsRAwNhpSHQjwG3KiUCzy0vsyvlt065rZERERERERkEniXjw6Y2Q+Aq4FDzGyFmb0O+AhwlpndA5yZPgf4HXA/cC/wFeBNo2z6NjP7opk9OX18AbjdzHqAyljtGq2mA2YWkEydedVYG5KdY+XQWtyhGodEsWMGQQmwJLMhwPAI3nrFb7nx0TW878QzGmbEEBERERERkUk2MbNXvLTNW09tsawD/9jhpv+WJCjxlvT5lcDbSQIOTxlr5VEzHdw9Bj7fYUNkJ+gPezGcxTPWE5gRhGCBY2bpAyx0rFjhB3fdyNWrHpzsJouIiIiIiMgU5e6D7v5Jd39e+viEuw+4e+zuW8dav5PhFX80s+ebbpfvEp67+InsN21DOq7HsMBJCojWmRlhEYYZ4qf33tZyOyIiIiIiIjJJJmB4xUQxs1PN7GIzu9vM7s8ena4/6vCK1BuAtwGRmQ2S9HDd3WduZ5tlB+zRG9ETxjy8bXZzrKGJERRj1g6OGXgSERERERGRncXZ0eKQO9vXgLcC1wFRtyuPGXRw9xnb0SiZIDds/DPgxB1dpAGXrblnopskIiIiIiIiXbBJzl7o0iZ3//32rtxJpgNmdi7wpPTppe7+m+3doeyYvqAfgHl92xishDhhEinLxSDcIa5mLxjVKKIQhju9rSIiIiIiItLC1Ao6/J+ZfRz4GTCcveju13ey8phBBzP7CPAE4HvpS/9sZqe6+7u2o7Gyg5644Gk8MHAPB85ey7qhaQyUA7wp6yGuGh6n5ToMrlu7khMX7jsJrRUREREREZEp7sT06/G51xw4o5OVO8l0eCZwdDqTBWb2LeAGQEGHSfC4Wcdz2vyzuPTR3/OEhcu5/tHFbB7oJ6pkmQz1AIS7427MKvZOTmNFRERERERkhKk0vMLdx5wWczQdDa8AZgPr0+9n7cgOZceYGc9Z/HJOm/903nTt+5nbP0g5LrBtW29DMZJk2lXDgEPmLJi09oqIiIiIiEiTKVBI0sxe4e7fNbO3tXrf3T/VyXY6mTLzw8ANZvbNNMvhOuCDnTdVJsK8nvl84pj/YH7vbOb2D9DXMwQ47klNBzA8hp+c9So026mIiIiIiMguotvpMicvK2Ja+nVGm0dHOpm94gdmdilJXQcH3uHuj3TbWhl/+/Qv5Psn/ycPD65lIBpiqGz87723cs/G9Txx0f687NBjmFXS0AoREREREZFdyhQYXuHuX06/vn9HttPp8IqTgdNITk0B+PmO7FTGj5mxuL8+fOJx8/aexNaIiIiIiIjIWKZCTQcz+8xo77v7mzvZTiezV3wBOAj4QfrSG8zsTHf/x052ICIiIiIiIiI5UyDoQFJaYYd1kulwBnCYe1opIKnrcNt47FxERERERERktzMFgg7u/q38czObmbzsW7rZTieFJO8F9s093yd9TURERERERES6YN79Y1Lba3a8md0C3AzcamY3mdlxna7fNtPBzH5NEn+ZAdxhZn9Nn58I/HXHmi0iIiIiIiKym5oCU2bmfB14k7tfDmBmpwHfAI7qZOXRhld8YsfbJiIiIiIiIiINpsDwipwoCzgAuPsVZlbtdOW2QQd3/9OOtkzGV+zOJQ/cz4X33cP0YokXHn4khy/YY7KbJSIiIiIiIl2Y7CETXfqTmX2ZZHIJB14MXGpmxwK4+/WjrdzJ7BV/A3wU2AOw9OHuPnMHGy5diOKY1/3m51y27AFiBzP41o038LaTT+G8E06e7OaJiIiIiIjIY9Pj06/va3r9GJIgxBmjrdzJ7BUfA57t7nd037bdh7vz5Qv/zDcuvoahcsSCWf28/+VP49TD9t/h7V6/bgU/vO1m/nTfsmToTxUIIA7gk1ddyX3r1vHfZ58zLschIiIiIiIiE2wKZTq4+1N2ZP1Ogg6rFXAY21u+8ksuvWVZ8iR21q7Zxnmf/DnzpvfythefzunHHER/b6mrbd60biWv/NN3GayWMYtw+jECDMMi8BjigvPzu+9k23CF85/7vAk4MhERERERERk3u8CMFN0ws/e2et3dP9DJ+qPNXvE36bfXmtmPgF8Aw7kd/KzzZj62bRkc4tJb0iyEyAmqyRgUAli/ZYj3fOn3BAG8+cVP4pXPeEJn26wM89L/+zZVKsRxTLStBwvBKoYXkoADgFWBwLjowfs491tf4+evfA1h0MlMqCIiIiIiIjIpplDQAdiW+74XOAfoODFhtEyHZ+e+HwCelnvuwKhBBzP7etqYR939yBbvG/Bp4Jnp9v92rAIUu6qvX3xNEnBwp1DJXjXAIQTH8Krz6e9fxsH77sGJh+835jZ//9DtlOMqHsdE5R4oAtUQB8Lh+vQqbobH4Di3bNzIgf/zKf76hjeyx7Tp43+gIiIiIiIisuOmUNDB3T+Zf25mnwAu7HT90WaveM0OtAvgm8DngG+3ef9sYGn6OBH4Yvp1yvnR5TdCAOFgEmgwsqCAJddS6FA1Anc+8Z1L+MmHxz61a4a2YuZUy0UIgA0hAGHF0nKelu4BwAmqhgdJkONl//tj/vDq147zUYqIiIiIiMh4mErDK1roB/budOFOZq/4TIuXNwHXuvsv263n7peZ2ZJRNv0c4Nvu7sCfzWy2mS1y91VjtWlXM1BJpig1JxdwSKT5DngI7rB8xfqOtnnsvL3BDSwZKmFRQFBtDDjU95EGIMpG1Btz7/r1bCuXmVbqroaEiIiIiIiISJ6Z3UI9NyMEFgAd1XOA5B76WHqBo4F70sdRJFGN15nZ/3TR1maLgYdyz1ekr41gZq83s2vN7No1a9bswC4nxryZ/WMvlNVgiDvb5kl7LOHgmXvUX7AsGmbtVkkKksRAAW5aNeViNyIiIiIiIrsH7/Ixuc4hKb/wbJKyC3u5++c6XbmToMNRwFPc/bPu/lngTOBQ4Hk01nmYMO5+vrsf7+7HL1iwYGfssivffctLgCQxwdtcEZZeLHNm9HW0TTPjZ2e9LkmPACjFSd2IVtv33GtuEMLbL7ig8wMQERERERGRnSOdvaKbx6Q21305MJsk6PA84PBu1u8k6DAHyFclnAbMdfeI3GwW22ElsE/u+d7pa1POormz6Akg6kmuhizw4On/rJqMiLAIPveu53e83Z6wwCk9s8EdnxYRFeIkYyIf7fJ0b2kGhQfJG6u3bhuxPREREREREdkFTKFMBzP7Z+B7wB7p43tm9k+drt9J0OFjwI1m9g0z+yZwA/BxM5sG/KH7Jtf8CniVJU4CNk3Feg6Zaz71VgiMag/EBYizcFQEXoDYndc890QO2m9hV9v9/ovfBFUHYmzuMFEY4+5JdkPsyQUYAwYeJoUkswDEQKXSfsMiIiIiIiIyOaZQ0AF4HXCiu7/X3d8LnAT8facrj1lI0t2/Zma/A05IX3q3uz+cfv+v7dYzsx8ApwPzzWwF8D6SiR9x9y8BvyOZLvNekikzd3S2jEl38/+8lW9deg2f/PkVUEiujCCCUw7alw+85hnMn71901je/+p3ceB3PkaMw6wybC5BwbCq1VJt4oLjBYcAbMgwg2LQSUxJREREREREdhZj8odMdMmAKPc8YtRig43aBh3M7FB3v9PMjk1fyoo+7mlme7r79aNt2N1fOsb7Dvxjpw2dKl59+hN4xZOO47aVj2LA4Yv3INzBzn8QBNz1irfz6ot/zJ9XPwTFCF8T4KWkfkPt4/Yk4BBgPOPgpRTDcEcPR0RERERERMbb1Ao6fAP4i5n9PH3+XOBrna48WqbD24DXA59s8Z4DZ3S6k91NGAQctc+e47rNUljgB894WcNr7s7nr7uaT1/5Z6LYMYxiIeCIPRbyobN2So1PERERERER6cYuUByyG+7+KTO7FDgtfek17n5Dp+u3DTq4++vTr0/ZoRZK19ydq29+gAuuvoMgCDjniYdz3KH7YNaYwWJmnHf8KZx3/Cncv2EDd61dw76zZnPEHnu02bKIiIiIiIhMuikQdDCzJwDz3f336UiH69PXn2lmgbtf18l2xqzpYGb9JFkP+7r7681sKXCIu/9mB9ovbbg77//KhfzftfcwOJwUgrzk2rt53ulH8daXnd52vQPmzOGAOXN2UitFRERERERku02BoAPwUVrXXryNZMhFR6MfOik28A2gDJySPl8J/FcnG5fu3XLfKi655u5awAFgaLjKzy65mQceXj+JLRMREREREZHxYN7dY5LMcPflzS+mr83vdCOdBB0OdPePAZV0BwN0UalSunPlTcsYLldHvB67c/UtD+z8BomIiIiIiMjuaLRU+v5ON9JJ0KFsZn2kCSBmdiAw3OkOpDvTeosUCiM/ljAM6OspTkKLREREREREZFx5l4/J8Qcz+6Dligta4gPAJZ1upJOgw/uAC4B9zOx7wB+Bf+u2tdKZp510KIG1+FjcecrxB+38BomIiIiIiMj46TbgMHlBh38BDgDuNbOfmtlPgXuAg0nqPnZkzEKS7n6xmV0PnEQyrOKf3X3t9rVZxrLnvJm87++fzge+eiFhkAQfYnc+ct45zJreN8mtExERERERkR01FabMdPdtwEvN7ADgiPTl29z9/m620zboYGb7Nr10S/q138z2dfcHu9mRdO7MEw/h5KP256+3LScMAk44Yl96NbRCRERERETksWEKBB0yaZChq0BD3miZDr8lORX5opEOLAD2AMLt3amMbVpfiaccv3SymyEiIiIiIiLjbCpkOoyXtkEHd39c/rmZLQHeAZwJfGhimyUiIiIiIiLyGLUbBR3GLCRpZkvN7JvA74HrgMPd/bMT3TARERERERGRx5ypU0gSMwvN7M4d2UbboIOZHWlmPwB+CvwBONLdv+rulR3ZoYiIiIiIiMjuyrbjMVncPQLualHzsWOj1XS4CXiIpLbDCcAJuek5cfc3b+9ORURERERERHZbU2t4xRzgNjP7K7Ate9Hdz+1k5dGCDq/dwYaJiIiIiIiISJMpVkjyPTuy8miFJL+1IxsWERERERERkRamUNDB3f+0I+uPWUhSRERERERERMbRFCkkCWBmJ5nZNWa21czKZhaZ2eZO1x9teIWIiIiIiIiIjCefcsMrPge8BPgJcDzwKuDgTlfuZMrMUzt5TUREREREREQ6MIUyHQDc/V4gdPfI3b8BPKPTdTvJdPgscGwHr4mIiIiIiIjIGKZYpsOAmZWAG83sY8AquijV0DboYGYnA6cAC8zsbbm3ZgLhdjZWREREREREZPc2tYIOrySJAZwHvBXYB3h+pyuPlulQAqany8zIvb4ZeEHXzRQRERERERGRCcl0MLMHgC1ABFTd/Xgzmwv8CFgCPAC8yN03dLNdd1+efjsIvL/bdo02ZeafgD+Z2TeznZhZAEx3944rVYqIiIiIiIjITvEUd1+be/5O4I/u/hEze2f6/B2dbMjMbmGUnAx3P6qT7XRS0+HDZvZGkmjJNcBMM/u0u3+8kx2IiIiIiIiISGrnFod8DnB6+v23gEvpMOgAnDMeDegk6HC4u282s5cDvyeJjFwHKOggIiIiIiIi0q3ugw7zzeza3PPz3f38Flu9yMwc+HL6/kJ3X5W+/wiwsOMm1odV7JBOgg5FMysCzwU+5+6V9CBEREREREREpAvGdtV0WOvux4+xzGnuvtLM9gAuNrM782+6u29PX97MTiKZwfIwktqPIbDN3Wd2sn4n01x8maTgxDTgMjPbj6SYpIiIiIiIiIh0y7t8dLJJ95Xp10eBnwMnAKvNbBFA+vXR7Wjt54CXAvcAfcDfAZ/vdOUxgw7u/hl3X+zuz3R3Bx4EnrIdDRURERERERHZ7Zl7V48xt2c2zcxmZN8DTwNuBX4FvDpd7NXAL7enve5+LxC6e+Tu3wCe0em6nQyvaN6Zm9krgW90u66IiIiIiIjIbm1iCkkuBH5uZpD087/v7heY2TXAj83sdcBy4EXbse0BMysBN5rZx4BVdDZqgqwx2+P9KOggIiIiIiIi0rXxrpLo7vcDj2/x+jrgqTu4+VeSBBnOA94K7AM8v9OV2wYdzOzmdm/RRcVLEREREREREcmZWlMzrAXK7j4EvN/MQqCn05VHy3RYCDwd2ND0ugFXddtKERERERERERn/TIcJ9kfgTGBr+rwPuAg4pZOVRws6/AaY7u43Nr9hZpd21UQRERERERERSUytoEOvu2cBB9x9q5n1d7py26CDu79ulPde1nn7RERERERERAQAn3KZDtvM7Fh3vx7AzI4DBjtdeXsLSYqIiIiIiIjI9phaQYe3AD8xs4dJyi3sCby405UVdBARERERERHZSYypleng7teY2aHAIelLd7l7pdP1O55bU0RERERERETGgXt3j0lgZk8wsz2T5noFOBb4IPBJM5vb6XYUdBARERERERHZicy7e0ySLwNlADN7EvAR4NvAJuD8Tjei4RUiIiIiIiIiO4szVWo6hO6+Pv3+xcD57v5T4KdmdmOnG1Gmg4iIiIiIiIg0C80sS1R4KnBJ7r2OExiU6SAiIiIiIiKyE1k82S3oyA+AP5nZWpIpMi8HMLODSIZYdERBBxEREREREZGdaQoMr3D3D5rZH4FFwEXutYqWAfBPnW5HQQcRkQk0NFDm5mvuZ9ldq+jrK3HI4/flkKP2mZB9VcpVLvvdzVx50a3MnNPPM19yEgc/bu8J2ZeIiIiIbL+pMmWmu/+5xWt3d7MNBR1ERMbR3bc8xOW/uxkLjGkz+/j+5/9ApRzVZjoq9RQ47Jj9OOmMw3jw3tUcesx+PPU5x7JhzRauvOhWqpWIk556OHvtNw8z63i/lXKVf3vFl3ngrkcYGixjgXHpr2/k79/5LJ71spN36Jg2rt/K5vXbWLTvPIol/bMhIiIiskOcSZsGczLor0cRkXHyjY//jl98+0rKQ5XGN8yShzvloQo3XX0vN111D5jx+x/+hf9+x48bFv/qR34DZizefz7v/cKr2ffAPcbc9//9+oZawAHAY2d4uMoX/utXrHxwHVs3DTJ3j5k8/QXHs2ifeR0dz8DWYT7+rz/kusvvolAIscD4u3c8i7NffGJnJ0REREREWpoqmQ7jQUEHEZFRRNWIqy++lWv+7w5mL5jB0190InvtN3/EcsvuWsXPv3kFlXK18Q33kZHsLINhtAi3OyuXreUNZ3+S8y/4F/Y5YPTAwxUX3FILOAAQBuBOHDk//8YV4E5QCPn5Ny7nXf/zMk4643AAhocqbN6wjTnzZ1Aohg3b/Oi//IAbrryHSjmiUo4A+PKHfs3Cvedw7KkHj9oeERERERmFgg4iIrsvd8fMWLt6E//0rE+ycf3W2j8MP/vKpbz4TU/l+NMP44G7HuEvf7yNStUZHipTGa7kN5I+0ueB1TMe8sMmOkit+9Cbv8cXf/PWUZeZNrMvS6aoBRxq+073EVcjytWI97/xW+x90B4MDpTZsHozQRhQLIW84p/O4vDjlvDdz1/C2tUbeeie1USViPwgj+HBCt/9zMX8/gdXc+fND7HH3nN5zb+czZHH7Q9AFMXcdNW9rF+zmcOO2Y+9lsznnltX8PDydex/yJ7st3TPMY9XRERE5LHM2L0yHcyn2FiS448/3q+99trJboaIPAZdccEtfO1jv+WRB9dRKIZUh8rtF86CB8U0dluN6u/FcevshjCsf5/X7vdwupwZ/PbOj4xa4+HWa5fxH6/9GsNDleRfsg5+tTvUAwpmuJG2MX0nC1xEjYEHogjiuL4LgxPOOpI3vvtc3vnyL7F10yDuTrlcxbE0iANBGLD0cfvwto+8kFuvWUZvX5GjT1nKrLnTCIJg7AaLiIjIbsHMrnP34ye7HRNlxuy9/ejT/7mrda745b9N2XOiTAcREeDPf7yNT/zrDxlOhyhUK9HoK7hDqZh835y50CqIkL3WRXHImg7WOfL4/Xn5m8/iG5/4PR632X++XWYNQYwkAJ0GGrKUiThO4w9WXzeOk+BEf2+SUVGNoFLlr3+8jb9edCu4Y0FQ3x7pczOqccQdNy7n75/xiawRGI0ZGdNm9nLW84/nCU8+lMedcKAKV4qIiMhj0u6U6TChf82Z2TOATwMh8FV3/0jT+38LfBxYmb70OXf/6kS2SUSklW9+8oIkS6BTlt6Zz3fIYcw6DbV1unDcEw/uaCaLF/7dk/nFN69g/aObR+63uV1NbaklR2T/iWLyb3iaCWFBAUppxsZwBYbL9cXS7A+P43S7nu7K62kVVa/tywJraANmbNs8xC++cUVShyJ9zYBiKeSkM4/gH9/3PGbNnTbmuRARERHZpSnosOPMLAQ+D5wFrACuMbNfufvtTYv+yN3Pm6h2iIh0YtVD60e+GATJ3f6WtuNfinwWQXOwoo25e8zkLf/1ghab8paBiI3rto7cZ7v9ZO1ofBGwJIuhiYWWnJNsm0EAfb0QO16tF9CsbTE9dw7J9oIgeTN2LIogy8gIaAg8NGwjXb9cjrjsglu47IJbsHSYSv+MHk48/TAef8IBPPnso6hWIyrlKrPnTe9qulERERGRnU2ZDuPjBOBed78fwMx+CDwHaA46iIhMugWLZrHywfXJHf6s6KM7VGkdeGgaqlB7rZNgwhiZEYWeAk97wRM4+qSDOOmph9eGGNx27TI+dN63Wf/IRgBmzpvBOz/7So45ZWlt3Xl7zGTNqo0dHHETo37c+WPKtzMmCRBA+n36pFqpZSRAGmQohvXhJ1EEg8NYpZKsUwiTIETsI/fX7twFQdI+sqEgsG3zEJf84jou+ek1/M+7f5JkWhRD+qf18Lb3P4+Tzjh8xIwcIiIiIpPOqd982Q1MZNBhMfBQ7vkKoNXk7s83sycBdwNvdfeHmhcws9cDrwfYd999J6CpIrK727JlOPkmzA2bMINSmu1QqSad54wZlCtJx9os6UhXo84DDu5pJ7qe+TB3wQxe/+/P5knPfDxmRnm4yg+/8Ed+8a0rGNhWrmcYpIGNzeu38u5XfImgVOCpf3McYRiyZtWGeh2GbgQBZtY+f6MWhImSwEx+Fg73xkKTPcXkfGTvhyFM78e3bMPiGMoxBFkwID2eLNuhRdDG3PGoCoRYEDQeWxAk/24Dw/vOBmDIjPd8+Ff0vPk7zJjRx977L2D6rH76+os87QUncPBR+zA4MMwei2YrI0JEREQmx+4Tc5j0QpK/Bn7g7sNm9gbgW8AZzQu5+/nA+ZDMXrFzmygij3Ub1m5l88aB9h31/CwVlSqUy/XOf7UE/X3p7BRBvUPe0HHOOtMQhMbbP/ESnnLusWO26/1v/AbXX3lPuqvGKTc99tqd/zhyLv7JtfVZM7JpM0fLWmg+vtGeZ+vEcTI0AvDsX8qmYRieBWDy28jOR6kEQ8NJPYz80A73JNqfn92juY0xEFWSz6FQqK9DUo4SdwprtxGUq7XXvRCyZeswd9y6Mnktjrns97fUZhIphMZzX3Uqr37L01SwUkRERHYqDa8YHyuBfXLP96ZeMBIAd1+Xe/pV4GMT2B4RkZbWr940+gK1DrTD8HDDbAs+NAzDZayvt57xAAQ9ReYumMnBRy6mVAwY3DrMQY/flzP/5nj23GfemG2697aV3Pzn++oBh+b2BE2vZ534ciXpvHdyBz/NbPBCgHmujkLLWg/UAg6QKzzZnBoYWNNcnLk2F0YLhOT222L4iWWzYVQjatkhTdspbK1PcWoAHidBEOrLmnsyPCOKqEbwv1/9Ez/7+mV8+Fuv5/EnHsCaRzaxZdMA+xywgGKxQBzHXPjz63jw3kc59uSDOO60pZreU0RERHZcB7W9HismMuhwDbDUzPYnCTa8BHhZfgEzW+Tuq9Kn5wJ3TGB7RERaWrz/gqSvG7fpbEOSwbBloP7cLElgyJ4Pl6G3J82EqBBvG2Dths2svWclhVJIWCzwyP2rOeflp3TUpjtvXJ5M29mmPS0DEZAEHIpj/GrPdfzj/hLeUyDMhpdkWmQijIgjkNZXCAM8ipP3Yx8ZcMi2UY2pZX20kx9+ksl9Lm7UamxYrihnyy2mr2dbygdM8scXRzHveOWXCXoLxNWk/RYGzJ47nQ1rttQ29/PvXsX0Gb184tuvZ8lBC9sfg4iIiMgYdqdMhwm7XePuVeA84EKSYMKP3f02M/uAmZ2bLvZmM7vNzG4C3gz87US1R0Sknd7+Eue+4uTRi0AODtW/t+yRG/LgniwzNJx0inMd9mo5YnjbMCvue5RPv/17HbVp+b2P1nbVlUJuiMIYalkOwxEe5uo5RMkwiloNiWxoRTtBNjNFkknQtrZFuZzsdbTZNDK185e95bgl7bAoSma/iNoHZfKyjys7Fs8eOF4IagUx46Fq0vZKhA9X2LB2c272j2TYytZNA7zx3E/zzy/6PNdfdS8D24aS4JCIiIiItDShg1jd/XfA75pee2/u+3cB75rINoiIdOIN73o2++y/B9/57MVs3jgwMuuhuYhkh8MX8h3pqFLl2ktupzxcodRTHHXVB+9dXZ9isrmP3mJoQe31MdpWm76yEOLuBJuHGrImvBRicTqcIRo9BO9ZMGJoGCuEeBgm2ypXk9drs1fEMDiERWngIisi2aqZcdx4vNkyoUGWTZE/3jiuz6IxlvTcWDaVZ+xJ23qKUInq7Us3TTVOgjhxWicjimvBl7tuepB3v/7rYEZYKnDWc47l9W97Ohf87Dp+86O/MDxU4dSnHs7L/+EMZs2Z1ln7REREZPeQ3s/YXahylogISar+s156Es966UkAvO7pH+fh5etywxaCtJ7Adsil8nvsxNEoWQOpOfNn4EE6hCOmYdiBx8mQBtzrQwzy+2kOPrjX/22b1tNY/LG3CANlLKvNUI6gGOKVKIl3BIaHQRqEiJOvWQHHLKshCPC43iE3gAowVMbjuJ4+mGWHeDp7RXNwpNXUUWl/f0TAIRNFYwcdWtW+SGfc8OyzKIb1ISJpUz3L9siEuYKiDlSSjI6oHPH7H/6F3//0mvp5BH7747/y50vv5Mu/eDN9/T2jt1FERER2G0ZWr2r3oKCDiOwShgaH+dHHf82G1Zt43GmH8KTnn0ixNHo2wET6wi/fwltf9DmW3b06eaG3F4Yryfee/qfT6RZzyx1wxN70dtABffYrTuHSi29LOrEh9TT/SpwUawyTqTy9EqUBgag+Y0Wreg/uUCo0zmqR8r4SbBuudbg9mxWjrwTFMOn4G0ldh22DBJZkHRBV022NrPdQ23WQtjNth2XtGWtGjezlERtM180P92hX+LJlg3J1KprXz2YfGdGuXCiiVg8DKIVQribvRnF93XQ8R1SNWfvIJr723xew4t41bNk4wONOOIC9lswnCAP23Gs2993xMEuWLuT40w4mzIbGAAPbhrnr1hXMmNXPgYfsqak9RUREHmvGvgf1mKGgg4jURNWIFfeupn9GLwsWz91p+/36e3/Ejz7+61o/8Hdfu4SPvvZLWDqFYgwEZhx22sFsWrWJvuk9vOwd53LKs46dsJkEenqLfOFXb8Xd+e0P/8wFP7mGZTc9QLR5oDHDoMPOYFAI6O3v4a3/84qOlh+oRHgYQBw1dtRLuToSQQDlSv0OfRQnhSTTE1nrVpslQwhKhdbtNZJARu4uvfcUk9kmoDY1JwF4bw9sG0pfCxuHnTTL2lEspMMTosb3moMftJj0InsvO95MdpxZ8KHdZ9HpMJhce7O2pCd+9HXDAKJc0MU9t5kkq+U337qqtvh9t6WTOAXJ8XghhMAIo5jAIIpips+ZzraBYTxOMlQKhYB3fviFnHbWEWMfi4iIiEwJynQQkd3O1RfcxH+/9bsMbRuiUonrHbDAOPmZR/Nvn301vX2lcd/vrVfexY8+/hvA0pvmXpvyMbs7HoYBxM6dV96Dm2GFkP967Vdr7cvsd9givvR/7xnXu8JmxjkvPZlzXnoyAJf+7K989A1fT4YTmNV7ykFQ/8cj949IoafAkkMXc9qzj+HpLz2F2fNndLTfb3/lUuK+ImFTkUJPz0vtCPt6YbiMV6rJ83IlGQKQBSYKSf2GLCOho9KU7lhgyfABgMCSzrFZMgwh28oo/1bW3urvrQ/niB0fHK7VVOhKMDJDA0iulbzmoRRNwQh3r31ODvVzlRs2Umt7OoSltn5zfMssuf6qcX0btDnD2TWRzzRJh6d4qUAUBsRDZXDYsmWwoc3VSsR/vf2HvO+/X8rJZxzeausiIiIylexmNR3Mp1iE5fjjj/drr712spsh8piy7I6VvPWZH2d4sFx/sTkFPu18FXoLHH3aIfzjf72AB+96hFUPrGH/I/bmcScv3a7O/j+d9l7uuvb++roeQ7GY7jImCHKdyjCsBSQa5Tp0QQhxzDmvP4OZ82awbcsQx556EI8/8aCOhjV0amhgmCt/eyN/vfhmNq/fxuEnHMizX/tklt3+MDddeRfz95zNE889llnzOgsy5N1/58O86YVfSKbfBMjm5jTDiyFUo6ROwoiaCGmKf2+x5fAFz4IQrdbbmgyv8EKAFRrPsUMSeCgWwJ1g07Zk/1EMcetMBweY3tf6Oto6gFmQBJCyWhfQclpO0n2PlbGQBaiSL60zKGohhTiZutNLhdpsHx4GWLmKZXU7ApK1svMcWD3AFafDWdINWxZDGSuY0jyzSFpro3ZuqxFWieqfURAk+0zraRDFPOmZR3HqmUdwylMPp1hqvG+wcf02rvzDbQwNljnu1KWa1lNERKYsM7vO3Y+f7HZMlJkzFvsTjvvHrta55E//PmXPiYIOIsKn/+V7XPTDq+sFDvNTQWbyd43zd2rjmCAM2Gv/BfzP7/6NaTP7utr3yw98M2sf3lB/wYAwxOOYoKdUL94YBFAsYIzsUNamNMzaXiomGyoVkyEanhRefPMHnsfZLzm5q/btbFs2DfDqMz7K4Nbh2mtOMqtEPLMPHILVG7FSLrCQzfgQR4AlBQ/z76e/5+PA6h3fHNs2hFXTz76n2FhosqENBYhjws2D6X7TDryP7Gx7IYS+nta1G4bLyQwXhZBaQMVzaYb5f5Y6CDjUVukp1BMTsnWi9JxkwYPQ8CDAQ0uGRVQjvLeUDpOICAbLI+88hFZ/bcT0mN7ZPNtZzYhWwSB3vK8nCTqUq03rMaI9hd4icxbM4G3/7284+qQDMTP+fOmdfPjffpQeckQQBDzzhSfwhn89e2QQxp1ldz/C0FCFgw7bi1JJSY8iIrJr2R2CDicc213Q4Y+XTd2gg/7SEBEeXbF+9IBD9jo0Bh7MIAyJgRUPbuAFj3sXmNHTV+TQ45bwnFc/kRPOOJywOQU+5+inHMHF3718ZJZE89SJhZEBB0j7ZA0zOAAxWCGdbSKKa23/zH/8jM/8+/9yytlH8R+ffdUuWZzvdz/8S0PAAdJ0/XIE1Zhg8wCBg5erSWc4V4ch6Z+mxSYr6awSoSW1HGKgPx0e46SfI2nHuz5rg492TtwJtg0nQxSyrImq43GA5QIPyd37NrU2sjv42QwS7vVl80Ua888ZfWBIli2QXJM0XatBskRW6NHALDcUxgzvSQNq1eSay+/H3bFy3HIWz9rOO6ntYW2OIbt2q9VkitLs3Nb2P3Kd6lCFNQ9v5D1v/DYLF8/mPz/3Sj78jh8xPFSpnw9zfvHDv/Dny+/mnBc+gXNfciKlUoGHlq3hved9hw3rttbqobztA8/jtDPr9SIGtg3z+x//lb9eeidzFszgOa88hcMev2/bQ7v9huX87JtXsG71Jo5/4sGc+/JTmDG7f/TzISIisrubYjf/d4QyHUSEn37xD3z7o7+iPFRtH3SAeuG+bIhDw4ORgQmAXMX/sCfkbR99MU9+1tFJnQZg87otvHjffySK4rSzldR0cHeCUrE+I0Cp1DZIkGQ7JCnzVgiT4Rmtgia5zmwtHT8Iky0EBv1Fvn3h29lj4ZztOIvj483P/yz33LpyxOsOEEX1KRmDNp3cdEpNM8NzHet4Zl/LYRc2UMYGcjNXtJvhwh0bqkCcfk5pIUQgHdYRNcz84EEA/W0yHcrVJCBUrSazW7Sq19Ai06b5X6taEoBRK5KZJDRYMjRluDFrIMuAqC2TbRqIp/diQ5URZRuyaTNbnu0s+2fETlosGiQBuuZ3PaslkWY8BK2OvXkdqA29CAJj4d5z2LRxgIFtw/XrOreNnt4C+y/dk3NfcDxf+Mhv2bZtiHwoo6e3yOd+9A/ss2QBD9z9CO94zVcZ2DJEtZp81qWeAm989zk84wVPGNGWi352HV/4f7+kPFzBHQqlkL7+Hl7/jmdx0hmHMb3LzCcRERHYDTIdpi/2E49+U1fr/OHK/5iy50RBBxFh25ZB3vSUD/Loyg1JJ6r5znMm62RlncTs0TYFPrtz3fReGNQ6tn3TSxx57L7c9oeb2bJyHeBYWpvBoypBIZ02s1hMijW22IvjyR1qMyiVWg4PABrbWSgkQwCytmSiOOkIBsYe+8zlze85F2L42gd/yYP3Pgoes+fec3nbx1/CwY/bh7AQsP7RLRQKAQPbhpk5ZxozZm3/Xd63vuQL3Hn98tbnPqsjkB1LK81DFNyT81MqEM+ZntRNSIcIeDHEhitJ4CFb3IDeNCMiX2+hWsWGqyMDDvn9DtdrgjgkwyuaCye6J1kbZBkcldrn4pbLZWnV8XYnDo1oRg/hluFkWEMY1D9XT64DylESoGl1flpcq9mpsuZgS7a9dv9Otgs6NNdsgFwxz3p3v/ZeNXc+agVc28/KUsvsSJcJiyFBMaCcBVmagzhxjFVjwjAgquaGh6S1I8Iw4DkvO4m1qzfxpwtuwaKRQZZCMeTD33gdRx67hA1rN/Pp9/6Cm/9yH4MDTZ95dhrS/7z2bc/ghX/35LbHIiIi0spuEXR4/D90tc4frnrPlD0nCjqICACb12/l2x/7Nb/91hXJC7VU96YOYz49vlWWQ4M2wYj0Lq2H1hQgSLbl5TI8shavRsld5qyWQ5rB0JD+nrWNNOjQU2rfYcs6nGEAxWIyJWWrjmYUJ20r5kagxZ7UPojiesZH/niahpBYYBz5hCWc+8pTmDNvJocds29H03v+9OuX89WP/rbxxazzm59ysl3QIb987rnj+KzpI2oGeMGwwUrjOU1nvPDcZ2/lanLsYdD6/LonAYTmaSdLhfQ8WnLOsqEc+Y55uZwUUgyDpLaEZ8MMghFBgqingJdCwi3DUGoszOjVKOkw54MzzUarETGRQYdi02jG/HpRnMwWAtkF3TDMxWqv5xYJg3QaUavX6chvM/9zW2kRgMmu4TRDZMlBe7Ds/rVYudK2RkVQDCkERjkdxtGwuXxb8/twOP7Jh3DGs49m65Yh+qaVuOPWlZQHKxx/2lKOO3Upff09tcynTmzdPMgNV91LEAYcd+pSevvHf1YdERGZXLtF0OGoLoMOVyvosNMo6CAysaqViB997kK++4nfjei41gIOmXyWQzdBByPJMii2momivu1sSAHDZdi0NZlZICs+WGtXvoihYcViw13lBllbS8VkCEchbN15T1Pd6Sk2Hr+Dbdw6csrHtLbFiNcyueX3PmgBZz7veM595Sls2TxEXIlZuPecWrr/0GCZVz7pQ2zdPFTvRBpY7HiUD3SMkunQ/Gs9y3bo7RlZVBCSc5wfttHqc4kdtgxgxRbDV+I0UFCpkM9u8XToRNvwSDoExKoRUV+B8l6zKD60nnCg3qk1SAJJtSEx1Gp7OOA9YS0wYOW0c11tPaNG7fjaXXPN1/IOBh08P8wouyabhqHUVks73e5JOxqCQJ4Uq8wPl6kFHSCp7ZHPbmioh+JJ3Y52bTfDiknQLHawSrU+hCe/eK1xaRNanY5Wr+emJ/UwTGYFyU5Ltr04maL1uCcuZckBC7nlmmX09pUIwmR2kyeffRRPe/7x3HvbSj729h+yYvk6khhkgTAMePf/vIwnPOmQht1u3TzIA/esZv7Cmey591wgKdJ6+e9vYfPGAY464QAOO2bftkO2RERkcu0OQYeTHvfGrta5+M/vnbLnREEHERlVHMdc/usb+NbHf8uqB9bW38gPw2hVlR9oH3RIpysM23cAPR/gaFjGoVKGVevqY+TjOFk265OlndRayn3zEJA0G8LbBT3Sugj0Fke8blsGRs4wAI11LprW6XTcf/IePP1FT+CO6x7koWVrMOCYU5by5g/+DV//+AVcdfGtVKoxxHEtCFHbWqvZH7KAQxgkdTFGHGougyWOG4cr5MUO2waSwM/0afXltw02ZmAUC/XPLQjwMGzfsUs/H0+zR9xjLIpHttFIhs3kz50Z3lfEe4vJrA8D5XpBzLEyHfLbadWmfEAnN0yl/pqPfC2/fn5YCkkGjmfntFJtP+wDw42W58vdk8BTllmU+9moZ1OE6XSerYIa6c9C3KL9ZknWTyGZbtaaMiM6CTjkt9XybUhnAfGRgZ04CYw0B1vyCsWQajXCs7qwufaExZDZi2ZTKBV42rnHMLxtmF986wqKxQKVSpVDH78vL3jtE/nQW76Pu1MZrlLqKXLMqQfx7595xYgsiziOeei+NYSFgMVL5iswISIyCXaLoMORb+hqnYv/8r4pe04UdBCRrq1/dDMX/ehqfvWtK9i4dmvSQW/ZmWvTwQvTDv8oKdWeH8LRLOmf8ZwXnsAb3v4MVi5fzVue8WEGNuWCAYUwucseBPXhH/m7zllNhzYdbAfoKYx43bYNYsNN6eXtiiFC+7vkY0k7l48/6SBOP+fxnHrWkUyf1ccff3UDP/vmFWzdNMj0aSWW3flw0pFMO2KeuzNvUJvJgL5emmdmyNrnsSdLpsNeWmZRxA5bB7BKFXp7kuDC1oHGYSaZUik3lGX0bBbc8UolGUpRbRHMqS0LhIXa9+4Qz5ueZg/EsHEbQRAkHURv3fHOaiFYtu9WbcmWCYLk+9gbzmdyLlocc9O2PP1q2fdBvV0tz0Z6fXp2reYOG+rZDlgakGv62ciyQFp9xg7JJB6ZqOl40mW8mPzMUI2SoTQNG/HaOWqZ5ZC9PlrQoVkWdHRPZlxJr7t2WRSZlpkYYbpuOgNI/uc6LASYJ1lceaWeAk9/4RN41ktPYr+DFgJw67UP8OG3fp+BrUN47Mzfcxbv+dwr2W9p8v7a1ZtYuWwtey2Zz4I9ZzVsb+O6rSy76xEW7j2Hvfad1/I8iIhIZx7zQYdpi/2kI7oMOlyjoMNOo6CDyK5pw7otfP+zF/PXP9zGow9vqPeCcnd9Der1HAKrFbJrJUvNbyldpa+vxC+u/PcRbw9uGyYsBPzo8xfz/c9cRC1KkbbCjVrKPqWsI2v1VPByFfpaFKR0xzZsGdnp2dGgQ6vsiNxrxZ4iQWD8x2dfwfG5NHJ3584bH+Se21ey5+K5uDkfedsPGdo6hKe1ETwEiqXko2gXdIji5C55ra5A4/6JvTb9qGUFLatRY4ZDXlozA4BCYfTMjvxQiFGCDm5gYT0I5ICnY/mzQpiefl61wEM2zCCf7REkQZD8lJlJ4CVuzNwJksKWFMLkuIfKjYUec+2A3HnNH2sWSIDkOoui1vUV0mU9qzcy4uCTjrTlR860WHZEWxq2Ty0wRdymY2/gpSJZDY/mbeUzHka8Ptq+27Stnv3QtJF0P62CJ3i6DtQDQk3TxmaLeWDJEKksWFJpEUyBNMhknPvyk/ndD/9MZTiqB4qAIAhYcsACVi5fS3m4QiHNkDrlzCN4+0dfRFgI+Pjbf8TlF9xMWAiJqzGHPH4fPvCV19I/vYeoGhEWwpH7BYaHKlSrEdOm97Y5cyIiu6fHetBh1rS9/KTDuws6XHTtf07Zc6Kgg4hMmMGBYb77mYv4+Tcuz2a0BOpj8yk2FgKsyTpgo2U6AMVCyG/++t5R2xBVI9Y+sokZs/u5/qo7+ODrvw1Q71CGYX28fVro0EthrcBeQxr4cIVg6+DIneQDJK0CCKNpF6ho7rwCvf0lfnDVf9DbV6I8XOE//v4b3HPrSqrViOpwpd75ck86kH29jVkL6SwGDW2K0zvM2RCZ/HCLrC3ltKBnw2vlZFrKVoIgqZuRDZFpdYy5DIKaNkGHWsFEy9Lvs4yVtIBn+tnkO+21LI8oN1OHpdOj1qZnzZ0DYO6es1i3YQCcZPhPfplqhA0O5/eebBdqy+U7vGSvWxpcS4cuMFRp3TEPrHV2TxZwaAp0JR32xnNb69hntSjyWROdBB1Ij9tJaju0WqblkBKSzJdK1DYTopUR56m+k/ZBB6j/3sgCDtWobYaH56dtdYdylSALPGQr5N9vbheMyHbJvz9jdh9btyRBvubrwgKjd1YfgwNlZs3p5+VvPINzXnIiQRCwaf02/t953+H26x/AgYWL5/Dvn345S4/cu+EYysMVNqzbypx50yn1NA33EhF5DNstgg6Hvb6rdS667v1T9pwo6CAiO1VUjbjkNzfw2x/8lYfuX822oWouDSJVS0lvnwlBACc/6RD+879ftsNt2rhuKx97+/e44+YVVKtOFSj0FFlyyJ5UKjHrVm9i65rN+FAlmRlhRFuaOou5rIkxdRF06J/ew9s/+iJOPvMIvv2Zi/np1y9LpknMDydIO+hZR90LhRGBh1pHDcBiqDqW3YmNIhgcTrZTm3HBRo5rjyIYHGp9TOnwFdplq2SBjRZ3txuyJ6w+lCDf2bN0lpPkujGyYqK1bmFWlyJbKHYqpRBm9yfLVyLCwQrBULlhpoagEBBHnna+iyMLakZRMsVo/lybjeyIG43XRCF3DsrVkUMsjKSwabsgW4thGbU78en5TQIscT2DIy8M6tkB7iMLS+brQuQ64O0CE7Vlgvo5qF3z1aixk55lOqVBqxGta3fMcVO9kvz+8xlSaSCh1YwbDo0Fa82gGhOUc8OjssBMq+uRNFui6Wer4ec7n/nh9ee1tpbCxrZmY4OqSeSnud0LFs3i5KcezlPOPYbvfOGPXH/1vbUhU4axz5J5PP+1T+L4Jx7MtOm9XH/FPRR7C0yb3sOvvnM1g1uHec6rT2GPveaw/N7VLF4ynyVL9xx5YCIiuzgFHUZS0GEnUtBB5LHpkZUb+OZnLuKqS24njpPCcYND6Z3vpk5JEBrTZ/Ty2e+9gT33mrPT23rd5XfxtQ//msFtw+x90EKGBsvc+tdlI9uaGwc/6hCDMYZX5IMOb/3QCzjt6Y/jFad/mHWrNyfvZ4UTm2ZfyH67e09xRLusXK0HHvKd0ijtOJbLSee61GKYSdbGgcHWwZV8Ic9WgaOmlPjm99zjWiCqZRE/SwMK+fObP+J0iECWiRED0fwZteEYNbFTXLMlyf5o2r6HQXLXPx80iR2rVCiaUW1aJy4VoJgcq20drgdJwrAx4yCdvaJ2VLnPbNSgQy4IUB/mYPWAUm7YwMhMDJKOeuwNHePaclkwwB3CkN7pJYa2DLfPNMja3aqAbBYAi5oyatodW/Zes7h17Ytahkd+KNAoQQfCMAkcpG1uNWykMX2haRvZZ5cPKLYJiDRf1yOCDrVlGBnUyWUp1duetJ+sTkV+w811V5p+ngyw0Cj2FDnwsL141ZvP4oBDFzFjVh933Pggy+56hL32ncfjTlgCbsmQERGRXchuEXQ49O+7Wuei6z8wZc9JYexFREQm3p6L5/DOj754xOvDQ2WuvfJeBofK3HnLCtY+upnHHbOEpz3nGGbM7JuElsJxTzyE457YOEXflo0DfPOTv+PS39zIwJbh+hstZgoYocPgb1SNOebUpbXv6+tT33Zu+7VkgGqEF3O/7tMOrkG9WGZuGAVQny0ie69Vu4tFPIogTtPbwyDNrMimyvQW0yiOcaxmScHIYghD5dbLNM+AkA88ZEGC3NCPeGZfEnBoPoYAKvOmUVq9pfHzSTuEVolwSwMzcZq/HwZYfw/FKKIyWEmyHKpxctc/q2GSnniD5Pw0BW1qgZRWRUzbnesWQ5AIrWG2iladdEs3mSzTuohmbWpPB6KIoc1DgJN1iy2fzVHrHFv7QrBZpoOTnJda4KZtGKGlLDui5UHlBcGIwqGeWzbJQkg+p5Zhj1EuyVodjVFiho0r2Mif5+yc1aJGTcfVrjBpRBKkCoNcxkja4DiuX2u51fOBKY+c4YEyd1z/AP/+d18nCAOmz+xlaFuZOI6JKlHt90ihFDJ73nQWH7CAjWu3sHXTIHsunsMr/uksjj75oA4PXkREOuY0/P5+rFOmg4jIBImiZGjG9Jl93HzNfXzovO9SGa6OnvUAtfeDMCB2p1AICQLjrR96AaefczQAX/h/v+T3P7kmqcif3VVuM3WpmyXZDrUXHMtSzMNcJ7057b6dtJOa/9fDoiRg4YVCWiOD+l31dlNYZsMsSAs7ph02N5LpSgfL7dtjbbIvCgFgDfUhyovnJG1qcyyFRzYR5IM4Zg11Pry5+GCr85wdo1GbvrVVxoGlHeTaMIVcNkfD0IWmFP7mznftjr+RZE40Z2vkl22XMdJwGry2n6xf2xigyA0/8Gx2l2Jj4CT7PMvpkKli/jOy2mbaNKDxmPOZDrntuzNyyEI6heyIbRdGZhm0LCQ5hqxAaX0YxigzeDj1AE3B0qyGpgUtd27jemaD1TdU36aBhfVr17PhUY2ba/s7Jf83nqXHUgvCZDtuXqe20eTLgkWz+PA3/55VKzbw+x//lZUPrGXV8nUMlyvsd8AC/uHfzx0RmHB37rp1Jffc+TADmwbZe9+5HH3yUqbNUMFMEenMYz7ToX8vP/ngv+tqnQtv+n9T9pwo6CAiMoniOCaOnCiKWPfoFm688h76ZvRwwpMP48H7HuUvl9xO//Renvysx7Nw8Zzaels2DvCWl3yB9Wu2MLRtOAk8tOgMOyS1HUpp0CG9A22Dw41TgrYrcNiwsbSDZC3umLsnHZzexuAGw60LEmZtGyWzvVbfYUTnvUWnvtaJyjqIudoQ5X3mtp8JxZ1gwwCFgXLu7rzVOtPeYorLrMNv+W1m9QzybRy5VlInIz80oGn6ylrWQXZmHKzFFKZJGyzZT1yfbaKlbIjAKDzNTkiOyfEgIO4p1LIIbLhSK1CZ1Y1wSDJSwlw9kLSooxeSIRANwQ5v/tomCygdpmD5E0PtdCSBpfywEs/WzXWkWw3nGCXoMDIjJ2UkBT6bt9NqG/nhFdk5bxF86jRponZeCrnCmbWAFfXzmDtRbYMh2ZOWUxvTerhT7uNIhuikwcRqVLtuG+qXuGNhwBHH7MMDy9exZfNQPRAVJddoqafIzDn9PP6kA3nOq07lrltWsGL5Ok556uEArFuzBTdY/fBG5s6bzhPPOkIze4jspnaLoMPS13W1zoU3/9eUPScKOoiITFHlcpUrLryFW65ZxvK7H+GOGx9M3sh1KByS7IOw3kmzShWLPZ2hIV2ww6CDp+P+R3TE3etBjGz/laQT2roz1xiwGLErqI8NyHUUva8EfT3pCYiIC4Z7TDBQwapxstkgqGU6eCFgeOEMrBBgHjR1gpP9Fh7ZRJCNm8+CDrl2tG1/PnvCvV6kM33fzfAALM0g8WKY3GnO39EfMV6/nlFQ60u26EDXOt/ZtsrV5DOu1oMY3ryNNpI79PVj9zAg7u+pH2cW/MnaWY2xpuvFA8OLhTQQEdRnmIjiZErT2JP2WUAtAyZ/F75peIvnz0HzceeOx5qu9YbhKSNqKSSfUausj/wV2PCuJUG22jbS7bbs3EMaBKpfBx0HGFrxNGKRBnU8ikZOM1xN95VrUy1jxmhoRy02Uzu2DgIPpMdfSj/PatQwTKW2RvZz19R+D4KGZbMsC4/iJMBVu76pBWkACIzitBKBGe/+2AtZuGgOeyyazfJ7V/OZD/ySZfesxh1KvUVOOeMwHnfcEu69axVhscDZzz2Ggw7dq/U5baPtUB4RmTSP/aDDIj/5oC6DDrd8cMqeEwUdREQeI4YGyvzd2Z9k3epN9RezbHWAQpB07uL0EVi9c1iu1u8uN8vG9Gf1CSwY2Rk0Rs72UK62vrPcYV0LB3x6X9p5ipPOV/6u/3AZG6yMWC/bR1wwgmpuuwbVvgJBTL2oYmDJyQnr31sU43FcG3LRUdABkuBINj4/KwyZ3mV2IxmO0NyBdUamemSBlmzdbBrQhmEYJPtv6rwDSUc0y0poF3DIZa00zK4RxcS9pca7681FHdP2BUPJzClxqQC9xXr2RXZ+IJ2GNskwsNz2Wg7lyQIf7knxx+Zslrw2d+w9H3Ro0Wag9nlk3XRPt1cLvGTSczci8NRmH57PcmgTNOmGuydZLtkMJeaNAagsUyb7rKE+vWxze9v+bJP7rNoEHUphml3kteBkPeMkfb0aNQwDAUZc1mTti+JcXMhqx5pMG2v17Cj3NIsiaZu7J5lCxeR3ULqB9HqKa79r3CAoBpz57KNZevjebFy7lXWPbubokw7kSWcfRRgGbFi3hd/84C9cdvGtrF+3ja1DFXqn9/KMc4/m+S87GcPZummQxfsvoFRS+TORyfCYDzr0LfKTD3ptV+tceOuHpuw5UdBBROQx5pPv+DF/+MV1IzpQ0YzeJGjgEGwZTDoshSB9zWG4RWV/aAg6OGCFQmdBh0q1dfG+boIOfaWks94sdmzzQPuhG9md8PyL2VSi+X2O8k+ghwalQtLeapScn2zYBcmwB8s6e+54HGNp566Wkp8FDgpBY42BtkGHtE1RlGQHZK8GQX3oiAFhUO8MR3HropTpUIeW58i9HnDIZwtk9TqyAEmLIS619g9WkoyZGb21c1KbRjNllWhkgMEdKi1mnMjXMsjWzz/JtBsikGs/gdUDMnG9012/M59bN2idudBWdt3U7s57LdugIUumXUe/092QZMckP1fpC/lpUdOhJbVMgthb1xtJMy+6CTrkz7/3FOqd+/R3BL2lxuOH5Ge93WeYe14bntIqewevHYelAahaIVPL/fxmQTdI6tM0nIe4Frwi2096/oJSSBg6laH8D14SoLQ0oGPZ7DkOYSHg799+Ns991Wksv+9RLvr1jcyZO41zXvgEevtKPLJiA1dccjt/+PUNPPzgegAef/wSXv+vZ7PPkgWtzriIdGi3CDoc0GXQ4fapG3RQ+FZE5DFm6+bBFnfPyRVH9HpHsBrj1Vyntbnzn09jLyT/ZHghSO6m5zef3uVs6EYUwhHLtTRa8LtdLYZq1Pr1nOaAA9ZUYyDd94g72UAcGuSHGIRBMhXnwDDeW0o6V9mUnFlAIT0Uj2Lw+uwCTtph8/RrnNbfyO61N/fK0u02tCuOoVRI7tCn58vSu79tsxnC5HNqdXy1O9VN69UKSUZxvVM3csuJUqGxyOaInXjrjAZIslbafYb54Qvu7RvQKuMgq8cB9bvwWdJGJaoHHwJy9T/q2QKN7aD1ec3EuY5rPgOh9jPjoza/tg8Yue/Akp+zfCDPAAvwSoRF9eyGZP1cIMJonKo2X++iWYuLo7ZkwfCGTKF0wSwI0jyMpRDg5WrtZ6z5uOutsMY384GKwKC/iA1Va4EJz/bRfF1Uqo1FT7P91GIJ+WBa8jUuR0nWl1k908WdoOK1/Xs2JWsUU42cL33iAr70sd8nn0m67tc+dQEHHLwn993+cJrdVA/gXXPFPVzzp7s48uh9WbzfPKrVmEIx5MTTD2XvAxawcd02Nm8a4LYblrNqxQb22ncePcWQKy+8hc0bBzj6pAN51T8/jb32nYeIPLbZaH//bO82zZ4BfJrkX7+vuvtHxn0n20FBBxGRx5hTzjqS66+4m/JwU3HBbFx9E8veg8bOU17+H8bYiXsK9Zv2QZD8AR/HjUXrAAohntZ1qPVvmsbvt5LcNbf68I8d1e64GNk5ctLOd375rOPWW8SiCBuq1NetRhBGybScgQFBMkyjdhxBLniSfh2qYB7hQTpkJMsQMIO+Um34h9eKTsZJ1oGlE5HG6dkMrJZVMeLo0qDHiIyCsU5VekxZAUG3FtvO5FP5mzuw7fZrrTeYnfcRyzYslKbZ5zNJ8sNOmjM+smssGw4TRUkQKIprwYh8DYnmBlltjEqqlg3QtEI6PKB53+3+oKz1i7PjyKbAzN43G5k5lB1PGCSZMPmsmexHKn2aZL8E9YyPUbTMeM1mHglJAodZgCq0JGC0vfUPasOB2vwsxp4Eh5oDSg3HWm+vNW+pzfSj9Z9FGxmkSH+23QLoK9bfLIbJsI7hKpZ+FrUYUezcd/NDtW05npzzUpgU2o2dW69fzq03Plj7GbngF9cnjWj6HVwPLCaf46W/v5nL/3gbBx2+mC1bhjAzTjvzcJ789Mdx0zUPcNmFtzA0VOHE0w/h2S88gXl7zOTOmx7kK5/8PQ/csYqoEjF34QwOPW5/+qf1cvRJB3LcyQfylz/dxSMrN3DQYXtx7MkHUq1ELLvrEWbM6mev/RTgEJkU4xx0MLMQ+DxwFrACuMbMfuXut4/rjraDhleIiDzGVMpV/vVlX+LuW1Ykaf/p63FfMenQmhFsHEhStVttoEVHr/Yt1FK480tlNSPqwwY8qQUwXMltr0UHqunfoPyNX5/Z11AZv6EjEsfY5sFRh1c0vNcq7TxLi2+1fmB4q6r5cYxtGWoZqPCeQjIUJPZ68cusU9lq3wPDyXZKhYYOay09vLlmhDtWCwakHfegsTNmWa2KTGDJ8mnn02qN9ZaZDsmm0vMchvX6EflDyGoIeNrWdAhK0qmjvrA7NtyikGh23qv1oRv1RPfROdQ747naF7W7562GmUC9jkmrm/5RPULUMmYS1gMcDcMUWgVPurjGoEV703PrBt6XzTiT/icLSrkn9TTy7W+h9rM6Wk0H0qwPS7vvWS8+P+QiCzpk2zJrnYHkntRxaXUe8stkM+1kcr8HPLdcFizz7Gc3bqyx0jJ0McaUqFmtkNr1mXsv7iu2/jxiHxm4S6cqbvV7IAkqpAGafLCz6RgbrrVahG/kZ+WhJec/JhdgagzcWpQrYhtkPwtB63OUDfnyJOgVm0MYEpgxfXqJ5770JJ790pPZsHYrCxfPZniwzCf+/afc/Jf78Ng57Oh9ed3bn8Fvf3INK5evY8/Fc+ntL1IohDzxrCM44tglbc6+SHce88Mrehf5Kfu9uqt1Lrj7o6OeEzM7GfhPd396+vxdAO7+4R1p63hQ0EFE5DGoXK5y0U+u4ftf+CMb1mwhLoXJ+HALkkr01Yhgy1DuTl3TH/PNf3jT1Amzpmr50DKLAqj/0d1qrHk2s0M1gkqlvlwQJJ2N3lI6K0N6p79YqE0TydBwMmNFi/2N+MO+3Vj3Fv8EJh3bAM9mycirxti2kUEHyAUqnKRDHbTu1CcLexKQiePGApPZuSgWWndgoyjp7DtpRyTXEXNPoz+NfWvPptbMB2+yIRrOiN6bx3FyndQyKnKyTmkQ1oZ1eNb5zseQiiHgWDmtK9F8PUVRPfgB1Ib9NDZl5MfTfKc9+wyzr1lHr/m8OY3ZPLXXvdaO1h3IXNAoN4ShNqQln2WRndP8ZwngcS3zpaVsH7nr0QHvL9anpsyk+w3KuaEpowUdsjv7ow5haqqVkAtkRT0FgqFqvb6IWfJ+889TFvSqRPXlRjQovZ7c2wcBqZ/LWtAhKybZ4jNquf12b0Myw0427CY3na8bSaZSm3Zb8+cwXGmZQZT97qhdGy2vRR/xehLcM6waNxynN6yaBhWNegZYdl1mwaG8fAAl22Cruh3pZ+rFNCOrXK0F8qzl+cxmMcqm//X66xZgoVEsFZgzbzpPO/doTjn9UN73pu+y9uENWOwUe4ss3n8+Sw5ZxKx50ygUQmbPnc66Rzdx200r2LJlkEIhYP78mRDHrH54A+XhCnvvM5+nPu9YFi2ewz4H7sH6tVu5/eYHmTNvBiecupTCeGXFyS7jsR902NNP2bfLoMM9H1sOrM29dL67n589MbMXAM9w979Ln78SONHdzxuHJu8QDa8QEXkMKpUKnPPykznn5ScDSRBiYOsQq1dt4gdf/RO33PAAFYPy5qF6ckJu/dqf/81/c2YzKWTLZSs3V8zPi+PWd0bzY80LTenLQOCODwznlgXKw/XOiVnSoc53CPJ/ZOebHzsE9Q5hNkVe1v7mu6dxoTCyc5B1lsfSTTC/xTSDo97vT6dktDjGaZpFJOsX0viVyBszEBp32LQwtWKjtRogTUUtgVwth3zn0LA0QGSVKAlCNB+nA3FUfyNL/886UlkmR06+W1Pv33itkGJHss5utm4uayA/1WiD5iyV7Gvujr9nDbTsG5JCiJ5bvmV6RRNvUf+hGjf8TGRN76SeSc1oGQ61Zud+7rLgTPZzUU1mjfECSbAljslqlFj+2nWSu/8tOtQN5320n418YCc0PEqvrTge/fdLrglYVhCyfvyk2V7eW4Sg8WfGjXrGTzVOroURP5PUj6s280+SRZBkQTR15Gv1cZqCPdk1F+c+6Pz7cVxPwkg3lr9yakVqCy2Gt7QIviYFOUmu1/SaTIaNUZsRp9bmOMYqcfI5F0JsqIKb19uRC+Y5BhZglSpktTDCoJ6ZA1QqEatXbeI7X7qU73zlsmTd6b3J7DgDwzxwxyqW3bkq/Qws+dkvNJ73B+97NAlakpyHtQ9v4sa/3Jd8Zg5WCAn7S4QFKBQK7LPnLO65ZSXuTlAIOfiovXn2y05m2b2rCcKARXvPwYKAo47dj0V7z0Vkl9D9zf+1UzUQo6CDiMhuoFQqUJo7ndlzp/Of//2ytsu5O5vWbeW2G5Zz4f9ew4P3rWZosMLQYJmhgXLj3UhI/5iNIQjb96uidJkwGPF67Y/q/B/h2R+31qLwY+7OsgWWpPZD0jGpVJI7/UHaC8zfAfa0Kn6u8+ukHU6nPt1h1p6hYejvrXfWIekQF0LMqjTXrnBIZnxIl+tozHvUojPV6d8fuXTz/Lpt95qPZeTv9OcDP9nbpJ2xGAh8ZIYASSJEMjtDvYNnTtJ5z2UHNMy0kEWBmoc5xA69aWZHgXqnN+08enb3PAjqndvsoLK7u9kd+Ih6rQbq288617XrAM/d0W9zzoy2n2O9w95iuYBaxknD9+22kTUh3+m21p9l9tlk12u+nkXz9Tgi8NZiWyM7896QLZNlVHg2w4eTmwY3ojZ1ZTatataQfPChlmHTpiEtG2dpPYn0d0S7GVqa12n6LDy0WraJVSPwKHeevV7sNgtCFsLkGswPqYni5JoLAhoCVgBB8qvN3InN6jUhst95Dac2F3yJkvPk2SmCWsZQw2nKfkc2BC+ajnu0ISW533e1a6c5cJwtlx1rIcSzoSOhtcxKseFKwzbiFkVnzbJjyp2vMMD7e2HbUJKxRRqYGa7ihOk0wMmG8gGHhm07eH8JN6MaxVRig3KFO+5bg4UBVo2oRhG337aS29/z06YTkpzjUmgs3GMmR592MHPnz+BPF95KFMU88/nH8byXnTzy351xtm71ZmJ3Fuw5a0L3I1PA+I84WAnsk3u+d/rapFPQQUREasyM2fNncOpZR3LqWUeOufzmDdsYGBjmjhuW86PzL2XFsrVUK+md7IDa+OKkk5S7cxs3BS+o35HEPb3rHY/opzR0kfM1D4IAenrI0qYJgyQNv3nddHaDhj+4o3qRxqxTYQ6Uq/V6CGZJarYZcV+JYGC4sW2FMNnnUKWWFeBFRg6xyP7AGK4k7YlzHZGs0xTHjOw5N60PjZ3UsXT5N3TS0YkhTnvVLda33Pmqta05sNGw/6xTSBIIyDrMWWCnOXshP/SiZSfAkvNeCBrvRkdNKf757eXjHbUx8CSf8Wi1F1qodexbBcaCtPNulmy/OT2fXNCCLHjQYcc8CPA4Iqgdc+tVPbCkadm+vdX7rYNeIzp6LYa+JOc8bnyeaXFOPKA+TCH9WW8YipLLcqh/drntx47jSbCxxfCEWmApv9vs/f4evFwlqMbJ8CFIfjZz0wQ7SW0Ep0B+iIlVonrHv+VnDXHk0J8Ok3IgblHLpLlRjd+2zIepBU2ysUutZgMa5ZpxwOL690kRVa/FirLfx55m2mDUfjcBybUTR41FTT0J2DVkP6XDqVodqsdx/XdxGkyKQyPIZQR5mEZgorSl6RCPdp1/d69l2ljWpjR4lASGLTnW7HdO02dXrsY8tGwtDz2wLm178t6XP3Ehv/vpdXzlp+dNSOBhxf1r+NBbvs+KZWswgz0Wz+Fd//1SDjh0r3Hfl0wBWRB+fF0DLDWz/UmCDS8B2t9p2okUdBARke02c840Zs6Zxp6L5/KUc44Zc/nNG7exauV67r3tYa698l7Wr9nE1o2DLNp3LnvvN59LfnUjW9ZtTf587SnU0oKB2uwYOMkfih2kXI8Qe8N6yd28rMo/DbMTuHsybaY1LV8M8d4iVo6SbIl0lgAbqv+x7pDcHc0CD5koTortZSnfgSV3YAthQ0fMK9WkrkNefqx3GsxoyLjIYgD5VcY6H6MGLbK7lC2WaTjQ3Gv5AMEYqfS1ttY6anEtKNDQ/vxQCFq8n03v6ZYGD6IRKfK1O7dZJz/f9LTGgGeBh9ihkAtCNAeNPGsTud4ujUM4SDupEUmsLRtGkg8OWPpZ549pjKyA5K60JRk+2ew0ZulqtRNaP0+5oEfzT0urXYz2EzXive3IYKgtWvs59Fq6/GjXT/5y83SoVEfZRPkt9BTxqFzrpHpTIKXWjHKUzMiTXgsd7aVg9ba3mUGj3hRre85a7av2MxCGeFRNMk3y2QfhKAGzIGjIhKgHkdKvtVhA+rskikcM1XAn+V2WZpVZdk1lwdWscGWLJrS7NLxYwIcr9alhC42BHophLqNpJLNg5IuB1X6P1oIpWVZV878VllwPrRr40LK1XPjL63nGc49ru/92oigmqkbcet0DXPLbGxncOkxvX4lVD62nr6/IDVffl2TtpD87K+5fw3l/8znm7jGDeXvM5OkvOJ6nnnssPb3FsXe2HbZtHeIvl9xBebjCcU88RJkWk84ZkRG1o1t0r5rZecCFJD/hX3f328Z1J9tJhSRFRGSX8pc/3cl//csPqFTikR2L5nHhTXdKLesEtamN4ID3FpKx6tkS+SEA+X8S3fFSYeRdPgcbHB5zKsqsg+hZDYByFcvfaW+TuuxxXC8WWRuSkssMiDz3B3Zc6+zWikI2t6MQNIy/r5+n3B3w5tNcS4sm6YS06rF6bmWrHfGIIEFLaeE7y4oYpsu37Ri3eb+2TFZELpuJotV102rcO9QLoObbHOWOpYWGPlbW6csNefA212hD9kaYO0+VuB4xylY1kqyGbLHsM0zHvttgZWQ9AerZA55to9XsCyQxmiTrp0X7mpelTUCiVdChVSZCdqc5tKQzGXv9+sqWD5raUY1bdvqd5PoMWn3OLT4vh6RIJEC5SpB2Zmud7BbLk94tbwgitcu4cU/u1KezuBDFUB0l0yG/ow7jJkmb0iDsUBkLg9p165DUUMkF7JLrOkjaFMXpz0WLnWXBm+xzrFTbF8gshbVAJ5AUkkyvr6RYrbX++WqV7VWuEpartWWS6YYbh7Tkg7gN24PWMwtVGodjNKxTiyxZ/fdD80w/OXsvmcfXfv7mEa/fc9tKlt/3KL19Ja764+3cdt1yFu0zhyc8+RAu+N9reej+NfW9Nm+7IUDc4vejGWEYsNd+8/ifH72J/mktChnvgOuuuJv/Ou+7WABx7MSR8/LznsqL3/CUcd3PeHrMF5LsWeinLOouCeGC5f8zZc+JMh1ERGSXcuKTD+W8fz+XL330twymUwMGgbFgz1msf3QTHjvVLM24+W5o1rlpuH1KbVkj6awlG811+tp1kMvV5I/TUpqCG0VYufUf5s2MpkAIVh/mDngYtux0mCVBCkv/oM8dALWUYyeZ5aJ2iIbXKjpm26E2Zryhue71jJHcKWrosGC5bIFsP40b86yN2aODzmvtvewP8NpwFm/39//4yd+FznZWbOoQZddDlj7uXp/ZgcaPqxYfyF0/WYe/ocOaT+3OBwRirxcxLOU649CY3l8792ldg6xgIyP7rZZtN98+IE6zeaya65w6EMX1jmGtfbkOU5p2b4GN2Fe+DQ0NiBvT97PP2qMYT2u/BLlrydPMksbt2MgU/ub9tNKURu+Qztpjje+N9jNfOw/1bdSv1dx7nr7WXCi3VdtaZf/YiOZ2EIdwLJu+NP9qNlVvWmTU058p0myC2k7yWQm1TndTI9rvun78aXZXsk3qvxNarddi28FodSjMksyjsJ6lkb+WvadF16VFFtSItmcLdHCsWzcPNTwf3DbMf7zxW9x96wqq1ajh5vTqhzdw41/ubz6Ixsa0G5rTJIpiHnloPb/+3tW8+PWnj9nOTg0NlPmvf/ouQ4Plhtd/8IVLOOaUpRz8uL3HbV8i7SjoICIiu5ynP+84zjz3GNY9upkN67Yya8409lw8h0dXbeTS39/MpvXbKA9VuPX6B3hk1UaqlYg4jonKNHQAgyCgp7fIYPrHlmWdHEg7Z/U6EpbvGOTT3qtR0lmj9R/V7ToKtT+Dc3fBG1Sj+h365tdb3R3M/2Ht9bvXtX5MvlNtVr+zb3E9a6J2lzLfaXHw3LSJtU5KfVnPVel3t3pQpNag/OZyUY/sefMf2Flqttffb9kVaNGJbPhbPtt//m7taD0Pb3jWWv7YR9tcfkNeDzg0bKdNxzYJSFE/PrPk7np697c5UJFMl5jMPGDutUyM/D7zAYcR+8uvQ/00eW4f9e1YrYGeDt3IDw2pnZ3moFgWgQrBscaZISy3TE8hGbqfDUdxb+zEuuPVGIohQRgk5yntUFtgeOx4f4l4oIzlf25T+TPgxbDhZ8xyM39Y7K2vp6wOTfO1UsuIadpTNqtEOkzKzbBCkBwDTddF0zXRFMdryfMLQuvpStPXk456lGQKZG9nw1Ea1vN6hk4+qylIZw1p1xInqc/QEGTJhjJQG3Zhw5V09pU0IFIq1meqqcYtil+22GP2ucVxPXHNSNYv5H7HNGX7tIz5ZO83R+janPilhy9qeP7VT17A7TcuT39mW68zXiqViMsvvGVcgw7XXHbXyN9PQKVc5Q8/v05Bh8mS/W7bTSjoICIiu6QwDNhj0Wz2WDS79toei2bzotc+acx1q5WIsBCwaf02Hlm5gcX7ziOKnc0bB1i1fC2/+O7V3HfHw8RRTKEQsnnjtqQzQ+6uZk7znwX5P27bdUqzu7u0Wc4cvByl0/SlfzzH6YLZuO28OE46hEHz3eX83VvqN9myGgXpDdpk+EguUtHwR+jIP3yyv6+zIRCe24+Z47nMjVYrW3oXPZn5IHcrNIprAZOkP9uYTZB/Pfva3K6G/kI2jjtOO1Lt7mBP1B931r73Muad6+YLqdUd+DAZHuPQMJxixHabh2fkl4m9dj1lAQNPh10ktSziEdNJ1gJBTQGH2nadxgKcXk+z9zB3N75FMMYgKSBquaCEpX+Dl0KCSkQwWE1qYQAektRSSaJoWG7olae1QOp388GLQVITJT/UpxrVO7vZ8s0ZNoElQ6rM6sVl46a0+Ibv03NejZJaEGGElQq1E9W2GGGrCyPtyGeFLhs+ymx2iRYBPKsdR/oZB0mgJXbHhqtpoKBFRk96rhpeLxYgqjQ0rxb08PRDanNM2bVi24Zzz8GHKjBUIS6FyfCy3PmsBXla1edJM44IwvrzyAmqUZI1UyrUf/bb/GiPOM2e/ie7LrKCr/njMHjZ353e8NoffnlDElQZ9Yd5FKMEIFvpbzV8ZAdUc9lReXHslLPaMDI5urgupjoFHURE5DGnkN4lmz1vOrPnTa+9PnvuNPY9YAEnPuWwtutGUcTqlRuoViO2bBzkW5+5mLtuWUFUrhK1qh6fae4QdFCELgkGpH801wIC0NdfYmDbcMNf/mkXK6npABRLIaeeeQSPrtnKsrtXURmqUI3jJCW9uZCiN7Wl3R86+TveuYyFhuT6fMev2KKgW3rs2TasWu/YNZ8Pr32tT5+a9b2z1P50Qw3HVLvTnk2jGUWN0xzmjyUNSDQPiUnuzvrIjlcWwMg/Hy0lO+swN911TzrQBYJKZzMZtE35z8bjj3VbfIyOjUO9Q529lhY1HfXubauZK/IbTT+4rEaEp+nxLc9Z/vpKMzjy4+zjYoAXA4LNw62HstSyKYJ6ICGNstWWiR2rxDhRfWaTOIZyVDtOb75GssPpLSXBvfy0rFkD2l0DteBKGmgbLNdmVUlDc437SI83qdWRvpfWgcgPf6hlJ8VeD5aMEsNoGEaRpgZ4qVib3rIjZtBbhEqUBD+yYS7pz2OcNKr9+kP12UBqm0zbF1Tqx5APMtamGm7WVIfCqQcyLXZsqEIcVJOCkPmF0s+sOZAJNAYmaxkenlvPOPPZR3P44/dpWK1c3oGOeZedyp7eIue+/OTt318Lx566tD4kMae3r8QTz37cuO5LuqSgg4iIyO4pDEP22nd+7fnHvvn3XW9j66YB7r9zFcvvXc2GtVuYPrOPO254EAweun8Nw4MVFu49h8OPXcKyOx/m2svvplqNmTNvGv/68Zdw8JF789YXf56H7nt0RIewEAZYYJz0lMN528deTKnU+E/5+jVb+IdzPsXWLUNpJ6HVXXHqd8az5y3u2JuTpImH1rhumr7tkY/sg+SGYmT7aR66Utt+bj8NdR6a/w5zklkpyHWwgqA2RAasPp2ge7LBrDMb1+/UjzgXkY887hHTudL4h2G+M1MbEpC8nl/HwwDvKxKHAeFQY8evZSdxlGr9ns3QMUpWxVh3fL1YGNl5LhWSwMP25owb1Oqn1IZqbO+GwHtCbDhqus2f21V29xtLhqNUoxZbSYJJlhYrrSkESWfarD6bR3Ontjyy01wLjIwSfMr6rUnh2TTgEsXgjbUw8tdgds0D6dAXrwcbatdubrrJLBjWqgn5zzXLmMr2WSq0/UiSDnyycC1Y5CTnlqC2UJZNYu7JtZjPcMmCCAaWZWE1tKdxf/XCoUFuVpemIN9gJVk9a4IZFAvJsQyU6zOPuBPHcfL7pRrVzo+XCnhoWNQ4hKb2OyvIXWBNQ84u/u1N/Omi2/ind5zN09IZLA44eE/uu3NVm7M4ijZZWu2YwbNeciKnnnVE9/saxay503jDu8/h/I/8ligditjTW+LkMw/n2FOXjuu+pBttAs2PUZq9QkREZBcVxzGbNwxQKAVs2zzM4LZhNqzdyuIl89hjrzlt19uwdgs//fplXH/FPcxfOJPps6fxp9/cSJwb7rH3/vNZ88gmykNJGnuxlHRuDj16Xz5w/mso9RQpl6usXLaG/uk9bNowwL23r+TaP93FvbetZOP6rQD0TisRFkI2rNuWdObyPax2nfW82vLNvZM2feisQ9Nc9yLbhnt9THuuY+/GiKkjG7af9Z2zlHszvNB01z5Oc6zdsZjkTnZ6nNGs/mQ2hHQog2f1DNwJNg02DtsJrHH4jHsyBWZzRkr2tpEOFyDXoc2dvrTN7QqcehiMyHKo7TeKk857+t6I/Y9W9C/ZSPL/wJK7+9nMKmNkOiS791o9BzeIphexSkxh09CIY6l1ZsMg6VS7EzQVxmtYNgxqM33UjzWZsaI5K6W2SHp+m99x9/q2GrIJaLim4kJQr0WQz2Jomn51ZBDQk2urVX2KIGgcXpEGPxriMtl5SQMOLbff6jVvCrBl12VWj6I5IyTNTrF2AbJ0/RGd6ziufybByM+k1r44ztWqyYKQ1K6PxmBGjBMkGTOBJcHPamMwySENbFAPHJEFUbyexVEIW2SKwD+89Wmc8ayjWbdmC//wvM9mka9ckHYU7QK+bUyb2ctHv/F3HHjYXh2u0b0H73uUP/7ieoYHy5xy1hE87oQD2g8B2gU85mevKO7hp8x/YVfrXPDIF6bsOVHQQUREZDcxsHWI4cEKs+ZNI8jGkLtz23UPsOrBdex/yP9v786j7KzrO46/v8+9s0+SCZlsBEIQxIUtgMgmiiBlEaFHUFCq0IOH6qlSWxU5Fltra3vUHrEqCqIeQSkisVJEVoGyWGVpCDtoZEtCtplkJjPJzNzt2z+e57nz3G02cjMzmc/rnDm5c++z/O4zvzzn/r73+/v+FrP/gUsmdOyeLf388Gu389CdT5EZDOeFpxtS7NE5i899/VwOPGIZANlMln++5Kc89tAfCczCKStmpNJhtfpDjnoDf3b2ETx059P89q5nwiX54pMkUvGTA6GiuNJb4hvueOWFYpZA+Rg6beGSlYnBphMNolsaqg/UcwWCoRz5ua0lA5wRByLRAJ9CgaBvMPqwnxjAGLWX9Sx+ux8Mj2LyiW++q32dHotrLNQKBOTy4bfdJWka8SopPjzIqsYozQxpDAsphueqcj2qDarNilNccq1pCIyG7oGK6UnhoDW6Dk54HQerTx1wCK9VeWAnX8DiQW6NoEPVQVgciEoFpde5rI2FpnQUFClUD4olVw8pO361wEDx+iSzHcq3K/6foNi3xxR0KFQGk4p9rUZCBWbhij5VzhH+3WsEAiFcKSUOnkWBu/JlLuPMC/dEwKMxVXm8RJJCSR9JxxciIRlMKHjl+y4GbKjs50G0NEc2H9aSKAy/FwLDG6IskrgoarKOSZVrXu2aLlnWycWXnc6Rx79pxACAu/Psylfo2tjLAQfvRXNLI3f8/BHyuTynfvAoOhfNqblvuUKhQGYwR1NLg4IOk2hOwwI/dt4549rnjo3fm7bXREEHERER2em2dvWRGcqxYM+Oqh9sX3u1mxefX8/sjlY2vdbDju1DHHHcG1mybHhqS1/vADf94H7u+e+V9G8bJOceFvx0aGxOkU6l2N4fFq5LpQMIoLGpgUK+wMlnHkbn/HYaWxrIDhXYsL6H21c8WsxWKKbqx4PebGJaSDqFe6E0uyAWp38XnEJ7U/jNdnJqxWgf4vMF0tsGSo+X/Fa82ueyRJClJDYA0NpQnCZi+fzwN8cebWFRnYWmGgGUTC5amtKLA84KtYpwlmeyRKskhAGIKjN4y99DcanO8KeQMgrR+0n3DoYBgmRQJRUMr8KRyQ0PUMubBeFgtfzvlisMT/+pmlUwQiaCJ7arEZwoNKaGB7DJwW5sZwQd4ufKWY0sh/LzjHY+agReYtVqlMTZBtXec3y+XBhw86aG8O+eL5SssjG8aZiNAgxPVSn/O1YLEMT9t1a2CIS1X6AymGWABZXPx/sa2I6h4ewbdzw6FunoHhFUDziMZUj/jlMO5O+vOL/m690bt3HZhdfQvaEXzBgaGKKQL70Ap3zgSD79lZEHsO7OjVffx4pr7mdgR4aOeW1cdOnpnHjm4WNo5a43I4IOe5w9rn3u2HTVtL0mCjqIiIjItJUZyjI0mKN9djM7+ofYvLGXRXvOpbm1sWLbTRt6uPprt/HUYy9jBu2zW6KCf0Ymk2XLpj4KUZZEkApo72hhe98QuWiwODw5PLGaR6pKpkOyBkBxgBsOlpoyWZpSYVAjl8mTHcwRBwfCA3mV7I7h74Ityowojn/SQTjAjr/AdQ+nS8QbxJkOyUFRfB53GMyG4/pUgBXiZVYTA6fSfxLvlcoBdDC8X5wZ4NH1sWR7kgcsrl5gYI4HRr6lAVJhsdJgKE+Qj6a1xEGZXGE4QFQtIBJN9SiRL4TvMVNayb9Y0BLwpnQ44E2+r7LrgEerrQRWMUj1hiijZPjgpYPgQqFiik/xHKNNr0i2pdrAPpONpi9YRfHK4r7JaUITCTo4YWZM+fPFKQ41CssS7kcusepENl+yGsvwKRyLM5XKA0fJ91KeqFFeEDb5nuLpKYXKIAcQLQ07wr5R+4NkQclCYbjWSnkW0TinVgDc8NAX6Nijveprnzv/Kp59/JUw0DDCuO3yKz/CcScfVPsc372HG6++j6GB4QyhpuYGLrviwxx90lvH0dpdY/cPOsz3YzvGGXTounraXhMVkhQREZFpq7Gpgcaogn3brGbaZtVebm7Bog6++I0Pj+v47s4LT69l65btzJ7bRltbE9v7BmlqbeThB//AvXc+yaZNfQwNZan4Iifx+9J9Orn8X97PvvstHPWc2UyWQsHp2bKd9tkttCWW0Ova2EtPdz8L957LQ3c+xT2/XEVLWyN5nFf/tIlcJk/b7Bb6BjP09vTjuShAks8TuIdLEBrRwJNwYOdg8SAwziyIp35EDChEA+1i4MOIsiTC61QcCEYZ/2TzWHb0wVf5MCrVOxh9wx8MT3XJ5QmSzYsCHA7h8pAGQaJmgkfTduLgikdZHG7hSomeDI7EdRJyhWi7xKDRbHgKSUmmQFRnIBYXV4yXu00GnWLlAZLE1IOwxkB8/RKZM8mAQ7xdlUGuuYcD+4Z01QvuEAZURvtjBFaZPRIH3KotbZncpsa0lTg7wQByeTyaflMtS6XmVJ46GtMUg/L3HtfVqBEEGE/AAeCpR1/i+FMqV5Lo6e7nhSfXVGQ2VHPDd35TM+iQz+W56Zr7SwIOAEODWa775p1TMuiw23PCjLoZQkEHERERkRrMjDcfvHfV1/Y/YBHnX/TOnX7OhsYwiLJwz8psjc6Fc+hcOAeA0845itPOOWqnnx/Ced+vrt7ExnVb2GPBbBYs6mDL5j46Otvp3riNrV19DGwf4k/PrCOTydLU2sQhR76BNS93cet//o58rsCSfefTt7WfV/6wkcEdiaKPBqlUQCoVUIAo66SVwe2DDA1laWltJpfLk8sWyMUrUcQ1SOJgiQOpVDjrIh5wFxNKEsGBKNvALMDTKazg4Qd9szAmUF7cMUr7x6IMEcBSAfE6COEhh4eU7sklYa24vwPm+eGU/2KmTBQsKQ5Wo4BBtMpKnC1guUK0KkQUKIhXZ2hIVX7bHQVVLO+QzVWv3+GO5/Jh4CGdKs3QiaUsvM65wnBzywMJ6SAM6CSvWTEYE6e/VH7rH1+T4k5BUFyRprgpVAY7qh2v2vi72vK3SaPUSxg18FBeUNWHC85WPSbjCzzMr1GTYXBHJqq/U3t1m1h/32DN13b0D5GtsfTnxnVbx9RGqYNaU9d2Qwo6iIiIiEiJIAhYdsAilh2wqPjcnHlh+vfczlnF5955+qEl+x3+jgM46y+O3WntyGRydG3o4YWn1pLJ5Fi051wGdmRondVMPlfgxefXcd8tqwjSKRpbG1nz8mbIOZ0LZ7Gtd4B8vsC8zlnM7miloTHF5q7tdK3vIW2weMlcFu8zj6cfe5mNr/WES21GUyccKxaE9DiTIB5JJgaa0cSQ4eVb83FRUgcLSgcVZftR8ptHhS6jJSzjbfL50qBFNhdlbETpJEEKPLFCRpS1AtG38Ml6C4HhwQhTIApEU0DC6SseBMPTSAqF8P0EAZ7y4nKURXEmRmB4ot4meS9OyXAIsxyIAgQpC5ewTB7DPcygiaZyFIMsJVN+agQeEtetJFMksW95MCAOhFR9PqFkxY6otgzRtIxiAGmCRRkbGlO86ZDqgc2Fe81l1pwWhmoUTU064YzlNV9rm91MS1sTfT07Kl7bZ//Rs6+kTqZZmYPXQ0EHEREREZmSGhvT7Lm0kz2XdlZ9/bCj9+PsC3d+tslIBgcy9HT3k0qlaGxpoGtDDw2NKVY/t551L2+mfVZLGKApOE88+jIvvfAaTQ0p1q/dSrohxVEnvoV99l/IH59ex4Y1W3B3Ug0Br6zeyLaufvK5Ao1NaeYv7qCAEVgYDOnrHSSfy9HS1kT35j6ymfxwfYbEqLk4jImzOApRJkUcvIiLICaXgy3dMyxKGW8XEB7cCpBPTDsJrHSkXihAtkbdhPhBJlcyZYX40Eb0XDgdyC2qfZHJh/U9LMoyidLRPa7TELfFwik1lg6G662kg+GLEqbXQD5fGlCIa1GUB1GiDBnHsShDoLiMZ6GAN6TCgEg2ykBJWcUAcqThZPIafffmS2pmWpgZn/nqB/nSJ64lny2Qy+bKoiqh2XNb+cDFJ9Q8XxAEXPh3p/D9f721JIDR1NzAhZ89bYSWSt3EtVxmCBWSFBERERHZTbk7Wzb30djUQENjisGBDM+ufJmhwSxuxp5L92DDmi7u/uXjDAxkWbRkLgsWzaa9o5U1r3SzeV0PgYXL4m7t7ic3VCDveRYu6qBj/iyee/wVcpk8TS2NFDzPjr4hvAAWGEv23oPeLdvZ3j9IkAroXDCHptYGujdsIzOUo72jmYMO35fZHa0sWDKX9/z54WQyOW77+SNsXLeV5Uftx7vft5zmlsqpRjtbJpMjnQ7o7xtgYEeG5pZG2tqa2PhaL+2zmzELl/Zta28mk8mxvX+Q/r5B+rr7ePaJtax5cRPrXt1CLpPjLcuXctKZh/K1z69g6+Zt5DI5BgZyxWBDujHgry8/i1PPOXJMbVu/pptf3/AwG17t5uCj3sCO/iHuWvEouWyed51+COd/6mRa2ppGPc59v3qc67/9G7o29LJ0/4VcdOnpHHr0fq/jqtXPbl9IMtXpx7S9b1z73Nn342l7TRR0EBERERERkSljJgQdjm5577j2uWv7ddP2mmh6hYiIiIiIiMgu4zOqpsMI1WRePzM71cxeMLPVZnZZldebzOzG6PWHzWxZPdsjIiIiIiIiMqmcsB7IeH6msboFHcwsBVwJnAa8FfiQmZUvAnsRsNXd9weuAL5ar/aIiIiIiIiITAleGN/PNFbPTIe3A6vd/UV3zwA/A84q2+Ys4Nro8QrgJBt1oVwRERERERERmQ7qGXRYAqxJ/L42eq7qNu6eA3qBeXVsk4iIiIiIiMikccALPq6f6WxaFJI0s4uBiwGWLl06ya0RERERERERmSD3aT9lYjzqmemwDtg78fte0XNVtzGzNDAH6C4/kLt/393f5u5vmz9/fp2aKyIiIiIiIlJ/MynToZ5Bh0eBN5rZvmbWCJwH3FK2zS3ABdHjc4B73WfQ2iEiIiIiIiIy88ygQpJWzzG+mZ0OfBNIAT9y96+Y2ZeBx9z9FjNrBn4CHAZsAc5z9xdHOeZm4JW6Nfr16wS6JrsRMi2p78hEqe/IRKnvyESo38hEqe/IWO3j7rttiruZ3UH4/2E8utz91Hq0p97qGnSYiczsMXd/22S3Q6Yf9R2ZKPUdmSj1HZkI9RuZKPUdkZmpntMrRERERERERGQGU9BBREREREREROpCQYed7/uT3QCZttR3ZKLUd2Si1HdkItRvZKLUd0RmINV0EBEREREREZG6UKaDiIiIiIiIiNSFgg4TYGY/MrNNZvZ0jdfNzL5lZqvN7EkzO3xXt1GmpjH0nRPMrNfMVkU//7Cr2yhTk5ntbWb3mdmzZvaMmf1NlW1075ESY+w3uu9IBTNrNrNHzOyJqO/8U5Vtmszsxuie87CZLZuEpsoUM8a+c6GZbU7cdz42GW0VkV0jPdkNmKZ+DHwHuK7G66cBb4x+jgK+F/0r8mNG7jsAD7r7GbumOTKN5IDPuPtKM5sF/J+Z3e3uzya20b1Hyo2l34DuO1JpCDjR3fvNrAF4yMxud/ffJ7a5CNjq7vub2XnAV4FzJ6OxMqWMpe8A3Ojun5yE9onILqZMhwlw9weALSNschZwnYd+D3SY2eJd0zqZysbQd0Sqcvf17r4yetwHPAcsKdtM9x4pMcZ+I1Ihuo/0R782RD/lhcDOAq6NHq8ATjIz20VNlClqjH1HRGYQBR3qYwmwJvH7WvQhT8bumCgl8XYzO3CyGyNTT5TCfBjwcNlLuvdITSP0G9B9R6ows5SZrQI2AXe7e817jrvngF5g3i5tpExJY+g7AGdHUwFXmNneu7aFIrIrKeggMrWsBPZx90OBbwM3T25zZKoxs3bgF8Cn3X3bZLdHpodR+o3uO1KVu+fdfTmwF/B2Mztokpsk08QY+s6vgGXufghwN8MZMyKyG1LQoT7WAcmI7V7RcyIjcvdtcUqiu98GNJhZ5yQ3S6aIaG7sL4Dr3f2/qmyie49UGK3f6L4jo3H3HuA+4NSyl4r3HDNLA3OA7l3aOJnSavUdd+9296Ho1x8AR+ziponILqSgQ33cAnw0qiR/NNDr7usnu1Ey9ZnZong+rJm9nfD/qD7ACVG/+CHwnLt/o8ZmuvdIibH0G913pBozm29mHdHjFuBk4PmyzW4BLogenwPc6+6auz/DjaXvlNUbOpOw3oyI7Ka0esUEmNkNwAlAp5mtBf6RsEgO7n4VcBtwOrAa2AH85eS0VKaaMfSdc4BPmFkOGADO0wc4iRwHfAR4KponC/AFYCno3iM1jaXf6L4j1SwGrjWzFGEg6ufufquZfRl4zN1vIQxo/cTMVhMWST5v8porU8hY+s4lZnYm4Qo7W4ALJ621IlJ3ps8VIiIiIiIiIlIPml4hIiIiIiIiInWhoIOIiIiIiIiI1IWCDiIiIiIiIiJSFwo6iIiIiIiIiEhdKOggIiIiIiIiInWhoIOIiEgZM8ub2Soze8LMVprZsTvpuCeY2a01nu81s8fN7AUze8DMzki8/nEz++gox90pbRQRERHZmdKT3QAREZEpaMDdlwOY2SnAvwHvqvM5H3T3M6JzLgduNrMBd7/H3a8aZd8TgH7gf+vbRBEREZHxUaaDiIjIyGYDWwEs9HUze9rMnjKzc6PnTzCz/zGzFWb2vJldb2YWvXZq9NxK4P1jOaG7rwK+DHwyOsaXzOyz0eNLzOxZM3vSzH5mZsuAjwN/G2VnHG9m7zOzh6PMid+Y2cLEcX4UtfVFM7skPqeZfTQ65hNm9pPouflm9gszezT6OW5nXFARERGZOZTpICIiUqnFzFYBzcBi4MTo+fcDy4FDgU7gUTN7IHrtMOBA4DXgt8BxZvYYcE20/2rgxnG0YSXwuSrPXwbs6+5DZtbh7j1mdhXQ7+7/DmBmc4Gj3d3N7GPApcBnov3fDLwbmAW8YGbfAw4ALgeOdfcuM9sj2vY/gCvc/SEzWwrcCbxlHO9BREREZjgFHURERColp1ccA1xnZgcB7wBucPc8sNHM7geOBLYBj7j72mifVcAywikPL7n7H6PnfwpcPMY2WI3nnwSuN7ObgZtrbLMXcKOZLQYagZcSr/3a3YeAITPbBCwkDIrc5O5dAO6+Jdr2PcBbo6QNgNlm1u7u/WN8DyIiIjLDaXqFiIjICNz9d4RZDfNH2XQo8TjP6w/sHwY8V+X59wJXAocTZlpUO8+3ge+4+8HAXxFmbEyknQFhxsTy6GeJAg4iIiIyHgo6iIiIjMDM3gykgG7gQeBcM0uZ2XzgncAjI+z+PLDMzPaLfv/QGM95CPBFwuBC8vkA2Nvd7wM+D8wB2oE+wukSsTnAuujxBWM45b3AB8xsXnSeeHrFXcCnEudfPpb2i4iIiMQ0vUJERKRSXNMBwmkOF7h73sx+CRwDPAE4cKm7b4gCExXcfdDMLgZ+bWY7CIMWs6ptCxxvZo8DrcAm4BJ3v6dsmxTwUzObE7XrW1FNh18BK8zsLMIgwZeAm8xsK2FAYd+R3qy7P2NmXwHuN7M88DhwIXAJcKWZPUn4meEBwqKVIiIiImNi7j7ZbRARERERERGR3ZCmV4iIiIiIiIhIXSjoICIiIiIiIiJ1oaCDiIiIiIiIiNSFgg4iIiIiIiIiUhcKOoiIiIiIiIhIXSjoICIiIiIiIiJ1oaCDiIiIiIiIiNSFgg4iIiIiIiIiUhf/D2pcLcHE/EPUAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(20, 5))\n", + "scatter = plt.scatter(x=X['feature_1'], y=X['feature_6'], c=y, cmap='viridis')\n", + "plt.colorbar(scatter, label='Scalar Coupling Constant')\n", + "plt.xlabel('Bond Distance')\n", + "plt.ylabel('1st Neighbor Distance')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "id": "c2f76ac4", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(20, 5))\n", + "scatter = plt.scatter(x=X['feature_6'], y=X['feature_7'], c=y, cmap='viridis')\n", + "plt.colorbar(scatter, label='Scalar Coupling Constant')\n", + "plt.title(\"Nearest Neighbor Distance v/s Scalar Coupling Constant\")\n", + "plt.xlabel('1st Neighbor Distance')\n", + "plt.ylabel('2nd Neighbor Distance')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "37d16167", + "metadata": {}, + "source": [ + "### Model Training and Evaluation\n", + "\n", + "The code defines a function `evaluate_model` to assess regression models' performance, including Linear Regression, Random Forest Regressor, K Nearest Neighbors, Support Vector Regressor, and Decision Tree Regressor, by calculating MAE, MSE, and R^2 Score, and stores the results in a dictionary." + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "3acd83f5", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Linear Regressor\n", + "Mean Absolute Error (MAE): 8.609905393621098\n", + "Mean Squared Error (MSE): 176.9550298728218\n", + "R^2 Score: 0.853611472508039\n", + "\n", + "\n", + "Random Forest Regressor\n", + "Mean Absolute Error (MAE): 1.6670128576739998\n", + "Mean Squared Error (MSE): 8.010648885056257\n", + "R^2 Score: 0.9933730784856395\n", + "\n", + "\n", + "K Nearest Neighbors\n", + "Mean Absolute Error (MAE): 2.1068519679400004\n", + "Mean Squared Error (MSE): 17.14773563060988\n", + "R^2 Score: 0.9858142954704903\n", + "\n", + "\n", + "Support Vector Regressor\n", + "Mean Absolute Error (MAE): 8.080887515971929\n", + "Mean Squared Error (MSE): 193.65974810904962\n", + "R^2 Score: 0.8397922603244296\n", + "\n", + "\n", + "Decision Tree Regressor\n", + "Mean Absolute Error (MAE): 2.1841845886000004\n", + "Mean Squared Error (MSE): 15.00225044799627\n", + "R^2 Score: 0.9875891781447175\n", + "\n", + "\n" + ] + } + ], + "source": [ + "results = {}\n", + "\n", + "def evaluate_model(model, model_name):\n", + " model.fit(X_train, y_train)\n", + " y_pred = model.predict(X_test)\n", + " mae = mean_absolute_error(y_test, y_pred)\n", + " mse = mean_squared_error(y_test, y_pred)\n", + " r2 = r2_score(y_test, y_pred)\n", + " results[model_name] = {'MAE': mae, 'MSE': mse, 'R2': r2}\n", + " print(f\"{model_name}\")\n", + " print(f\"Mean Absolute Error (MAE): {mae}\")\n", + " print(f\"Mean Squared Error (MSE): {mse}\")\n", + " print(f\"R^2 Score: {r2}\")\n", + " print('\\n')\n", + "\n", + "evaluate_model(LinearRegression(), 'Linear Regressor')\n", + "\n", + "evaluate_model(RandomForestRegressor(n_estimators=100, random_state=42), 'Random Forest Regressor')\n", + "\n", + "evaluate_model(KNeighborsRegressor(n_neighbors=5), 'K Nearest Neighbors')\n", + "\n", + "evaluate_model(SVR(kernel='linear'), 'Support Vector Regressor')\n", + "\n", + "evaluate_model(DecisionTreeRegressor(random_state=42), 'Decision Tree Regressor')" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "42fe212b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('Linear Regressor', {'MAE': 8.609905393621098, 'MSE': 176.9550298728218, 'R2': 0.853611472508039})\n", + "('Random Forest Regressor', {'MAE': 1.6670128576739998, 'MSE': 8.010648885056257, 'R2': 0.9933730784856395})\n", + "('K Nearest Neighbors', {'MAE': 2.1068519679400004, 'MSE': 17.14773563060988, 'R2': 0.9858142954704903})\n", + "('Support Vector Regressor', {'MAE': 8.080887515971929, 'MSE': 193.65974810904962, 'R2': 0.8397922603244296})\n", + "('Decision Tree Regressor', {'MAE': 2.1841845886000004, 'MSE': 15.00225044799627, 'R2': 0.9875891781447175})\n" + ] + } + ], + "source": [ + "for i in list(results.items()):\n", + " print(i)" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "b507fc92", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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actual_valuespredicted_valueserr
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" + ], + "text/plain": [ + " actual_values predicted_values err\n", + "0 0.327952 0.973773 -0.645821\n", + "1 -1.189010 -1.262454 0.073444\n", + "2 -1.724910 -1.232855 -0.492055\n", + "3 125.406000 123.026650 2.379350\n", + "4 -2.638650 -2.300235 -0.338415" + ] + }, + "execution_count": 83, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "results_df = pd.DataFrame({\n", + " 'actual_values': y,\n", + " 'predicted_values': pred,\n", + " 'err':y-pred\n", + "})\n", + "results_df.to_csv('predictions.csv',index=False)\n", + "results_df.head()" + ] + }, + { + "cell_type": "markdown", + "id": "acc49120", + "metadata": {}, + "source": [ + "## Conclusion\n", + "\n", + "- Random Forest Regressor stands out as the best performer among the considered models. It exhibits the lowest Mean Absolute Error (MAE) and Mean Squared Error (MSE) values, coupled with the highest R-squared (Rยฒ) value. This indicates that the Random Forest Regressor provides the most accurate predictions and explains the variance in the data exceptionally well.\n", + "\n", + "- Decision Tree Regressor and K Nearest Neighbors also demonstrate competitive performance, showing relatively low MAE and MSE values and high Rยฒ values. While they perform well, they do not match the level of accuracy achieved by the Random Forest Regressor.\n", + "\n", + "- Linear Regressor and Support Vector Regressor exhibit noticeably higher MAE and MSE values, along with lower Rยฒ values compared to the other models. This indicates that they are less suitable for accurately predicting the target variable in this context." + ] + }, + { + "cell_type": "markdown", + "id": "1c283480", + "metadata": {}, + "source": [ + "### Additional Work\n", + "\n", + "Apart from various ML regressors, created a simple Neural Network Model to predict the `scalar_coupling_cnstant`.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "8804941f", + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.preprocessing import StandardScaler\n", + "import tensorflow as tf\n", + "from tensorflow.keras.models import Sequential\n", + "from tensorflow.keras.layers import Dense, Dropout\n", + "\n", + "scaler = StandardScaler()\n", + "X_train_scaled = scaler.fit_transform(X_train)\n", + "X_test_scaled = scaler.transform(X_test)" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "07c2e5e2", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model: \"sequential\"\n", + "_________________________________________________________________\n", + " Layer (type) Output Shape Param # \n", + "=================================================================\n", + " dense (Dense) (None, 64) 640 \n", + " \n", + " dropout (Dropout) (None, 64) 0 \n", + " \n", + " dense_1 (Dense) (None, 32) 2080 \n", + " \n", + " dropout_1 (Dropout) (None, 32) 0 \n", + " \n", + " dense_2 (Dense) (None, 1) 33 \n", + " \n", + "=================================================================\n", + "Total params: 2,753\n", + "Trainable params: 2,753\n", + "Non-trainable params: 0\n", + "_________________________________________________________________\n" + ] + } + ], + "source": [ + "model = Sequential([\n", + " Dense(64, activation='relu', input_shape=(X_train_scaled.shape[1],)),\n", + " Dropout(0.2),\n", + " Dense(32, activation='relu'),\n", + " Dropout(0.2),\n", + " Dense(1)\n", + "])\n", + "\n", + "model.summary()" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "b24abd1d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 1/50\n", + "500/500 [==============================] - 6s 7ms/step - loss: 470.9916 - val_loss: 126.4749\n", + "Epoch 2/50\n", + "500/500 [==============================] - 3s 7ms/step - loss: 150.8214 - val_loss: 103.4063\n", + "Epoch 3/50\n", + "500/500 [==============================] - 3s 6ms/step - loss: 139.0209 - val_loss: 94.8205\n", + "Epoch 4/50\n", + "500/500 [==============================] - 3s 6ms/step - loss: 130.7181 - val_loss: 87.9208\n", + "Epoch 5/50\n", + "500/500 [==============================] - 3s 7ms/step - loss: 123.7516 - val_loss: 81.1808\n", + "Epoch 6/50\n", + "500/500 [==============================] - 3s 7ms/step - loss: 115.9619 - val_loss: 76.2446\n", + "Epoch 7/50\n", + "500/500 [==============================] - 4s 7ms/step - loss: 114.7541 - val_loss: 70.3390\n", + "Epoch 8/50\n", + "500/500 [==============================] - 4s 7ms/step - loss: 105.5912 - val_loss: 64.7075\n", + "Epoch 9/50\n", + "500/500 [==============================] - 3s 7ms/step - loss: 101.6051 - val_loss: 59.5346\n", + "Epoch 10/50\n", + "500/500 [==============================] - 4s 7ms/step - loss: 95.3973 - val_loss: 54.6805\n", + "Epoch 11/50\n", + "500/500 [==============================] - 4s 7ms/step - loss: 92.1340 - val_loss: 54.1279\n", + "Epoch 12/50\n", + "500/500 [==============================] - 3s 7ms/step - loss: 90.4130 - val_loss: 52.4158\n", + "Epoch 13/50\n", + "500/500 [==============================] - 4s 7ms/step - loss: 88.3526 - val_loss: 47.2974\n", + "Epoch 14/50\n", + "500/500 [==============================] - 3s 7ms/step - loss: 82.9500 - val_loss: 49.6653\n", + "Epoch 15/50\n", + "500/500 [==============================] - 4s 7ms/step - loss: 83.0589 - val_loss: 44.8529\n", + "Epoch 16/50\n", + "500/500 [==============================] - 4s 7ms/step - loss: 84.7289 - val_loss: 44.7565\n", + "Epoch 17/50\n", + "500/500 [==============================] - 4s 9ms/step - loss: 78.9952 - val_loss: 43.2763\n", + "Epoch 18/50\n", + "500/500 [==============================] - 4s 8ms/step - loss: 78.5643 - val_loss: 41.5070\n", + "Epoch 19/50\n", + "500/500 [==============================] - 4s 8ms/step - loss: 77.7017 - val_loss: 42.8699\n", + "Epoch 20/50\n", + "500/500 [==============================] - 4s 8ms/step - loss: 75.9305 - val_loss: 40.3663\n", + "Epoch 21/50\n", + "500/500 [==============================] - 3s 7ms/step - loss: 73.0973 - val_loss: 39.8647\n", + "Epoch 22/50\n", + "500/500 [==============================] - 4s 7ms/step - loss: 73.5114 - val_loss: 39.1432\n", + "Epoch 23/50\n", + "500/500 [==============================] - 4s 7ms/step - loss: 72.2754 - val_loss: 38.9732\n", + "Epoch 24/50\n", + "500/500 [==============================] - 4s 8ms/step - loss: 71.0709 - val_loss: 38.2063\n", + "Epoch 25/50\n", + "500/500 [==============================] - 4s 7ms/step - loss: 70.3213 - val_loss: 36.7262\n", + "Epoch 26/50\n", + "500/500 [==============================] - 4s 8ms/step - loss: 69.1034 - val_loss: 40.1239\n", + "Epoch 27/50\n", + "500/500 [==============================] - 4s 7ms/step - loss: 70.3942 - val_loss: 36.5509\n", + "Epoch 28/50\n", + "500/500 [==============================] - 4s 7ms/step - loss: 67.7457 - val_loss: 35.9503\n", + "Epoch 29/50\n", + "500/500 [==============================] - 4s 8ms/step - loss: 68.2066 - val_loss: 40.8279\n", + "Epoch 30/50\n", + "500/500 [==============================] - 4s 8ms/step - loss: 67.8181 - val_loss: 36.7510\n", + "Epoch 31/50\n", + "500/500 [==============================] - 3s 7ms/step - loss: 68.2378 - val_loss: 34.4367\n", + "Epoch 32/50\n", + "500/500 [==============================] - 4s 7ms/step - loss: 65.8521 - val_loss: 33.7131\n", + "Epoch 33/50\n", + "500/500 [==============================] - 4s 7ms/step - loss: 68.0357 - val_loss: 34.1592\n", + "Epoch 34/50\n", + "500/500 [==============================] - 4s 8ms/step - loss: 65.2673 - val_loss: 34.5663\n", + "Epoch 35/50\n", + "500/500 [==============================] - 3s 7ms/step - loss: 64.8780 - val_loss: 33.2196\n", + "Epoch 36/50\n", + "500/500 [==============================] - 5s 9ms/step - loss: 64.3457 - val_loss: 31.9674\n", + "Epoch 37/50\n", + "500/500 [==============================] - 4s 8ms/step - loss: 64.8764 - val_loss: 33.8594\n", + "Epoch 38/50\n", + "500/500 [==============================] - 4s 8ms/step - loss: 62.9114 - val_loss: 34.0116\n", + "Epoch 39/50\n", + "500/500 [==============================] - 4s 7ms/step - loss: 64.4693 - val_loss: 31.1873\n", + "Epoch 40/50\n", + "500/500 [==============================] - 3s 7ms/step - loss: 64.5762 - val_loss: 31.5078\n", + "Epoch 41/50\n", + "500/500 [==============================] - 3s 6ms/step - loss: 65.0073 - val_loss: 31.3175\n", + "Epoch 42/50\n", + "500/500 [==============================] - 4s 8ms/step - loss: 64.5223 - val_loss: 31.0832\n", + "Epoch 43/50\n", + "500/500 [==============================] - 4s 8ms/step - loss: 61.1443 - val_loss: 30.8020\n", + "Epoch 44/50\n", + "500/500 [==============================] - 4s 8ms/step - loss: 62.8067 - val_loss: 29.9394\n", + "Epoch 45/50\n", + "500/500 [==============================] - 4s 7ms/step - loss: 63.2078 - val_loss: 30.5058\n", + "Epoch 46/50\n", + "500/500 [==============================] - 4s 8ms/step - loss: 62.8412 - val_loss: 33.7868\n", + "Epoch 47/50\n", + "500/500 [==============================] - 6s 13ms/step - loss: 64.2014 - val_loss: 29.9870\n", + "Epoch 48/50\n", + "500/500 [==============================] - 5s 11ms/step - loss: 60.5821 - val_loss: 31.0949\n", + "Epoch 49/50\n", + "500/500 [==============================] - 4s 8ms/step - loss: 62.3476 - val_loss: 31.7769\n", + "Epoch 50/50\n", + "500/500 [==============================] - 4s 8ms/step - loss: 60.3940 - val_loss: 30.6391\n", + "313/313 [==============================] - 2s 5ms/step - loss: 31.2838\n", + "Test Loss: 31.283830642700195\n" + ] + } + ], + "source": [ + "model.compile(optimizer='adam', loss='mean_squared_error')\n", + "\n", + "history = model.fit(X_train_scaled, y_train, epochs=50, batch_size=64, validation_split=0.2)\n", + "\n", + "loss = model.evaluate(X_test_scaled, y_test)\n", + "print(f'Test Loss: {loss}')" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "1273c5a7", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10, 6))\n", + "plt.plot(history.history['loss'], label='Training Loss')\n", + "plt.plot(history.history['val_loss'], label='Validation Loss')\n", + "plt.xlabel('Epoch')\n", + "plt.ylabel('Loss')\n", + "plt.legend(loc='best')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "id": "62080bcc", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1563/1563 [==============================] - 6s 4ms/step\n" + ] + } + ], + "source": [ + "y_pred = model.predict(X)" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "id": "27dc0b0a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(49999,)" + ] + }, + "execution_count": 60, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "y_pred=y_pred.reshape(-1)\n", + "y_pred.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "id": "7a08a31d", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10, 6))\n", + "plt.scatter(y, y_pred,c=y-y_pred, cmap='coolwarm', alpha=0.7)\n", + "plt.plot(y,y, color='black', linestyle='-')\n", + "cbar=plt.colorbar()\n", + "cbar.set_label('Error')\n", + "plt.xlabel('Actual values')\n", + "plt.ylabel('Predicted values')\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7788ab74", + "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": "3.10.4" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/Molecular Property Prediction/Models/README.md b/Molecular Property Prediction/Models/README.md new file mode 100644 index 000000000..21a7381de --- /dev/null +++ b/Molecular Property Prediction/Models/README.md @@ -0,0 +1,119 @@ +## Molecular Property Prediction & EDA - Notebooks + + +### Scalar Coupling Constant Prediction + +The `Notebook.ipynb` notebook provides an in-depth exploration of molecular structures and feature extraction for predicting scalar coupling constants. + +1. **Data Preparation:** + - The notebook begins with data preparation steps, including loading the provided datasets (`train_df`). + - Random sampling is performed to extract a subset (`sample_df`) for feature extraction and model training. + +2. **Feature Extraction:** + - Feature extraction techniques are employed to derive relevant molecular features, including bond distances and neighboring atom types and distances. + - The `standardizer` function is utilized to standardize molecular structures and extract these features efficiently. + + ![img1](https://github.com/Sgvkamalakar/Sgvkamalakar/assets/103712713/e1f0b4dd-87c7-4b63-a942-8cc1e3acdf43) + +3. **Feature Selection:** + - Bond distances, neighboring atom types, and distances are extracted and concatenated into a feature matrix (`X`). + - The target variable, scalar coupling constants, is extracted and stored separately (`y`). + - Feature matrix `X` and target variable `y` are combined and saved as a CSV file (`bond_lengths.csv`) for further analysis and modeling. + +4. **Analysis and Insights:** + - The notebook offers insights into the distribution of unique atom counts in molecules through visualization techniques like histograms. + + ![image](https://github.com/Sgvkamalakar/Sgvkamalakar/assets/103712713/642ac187-61f4-4795-a2d7-b53ac6869d39) + + - Feature engineering and selection strategies are discussed to highlight important molecular characteristics influencing scalar coupling constants. + +5. **Modeling and Prediction:** + - The extracted features are utilized to train machine learning models for predicting scalar coupling constants. + - Various regression algorithms, including Linear Regression, Random Forest Regressor, K Nearest Neighbors, Support Vector Regressor, and Decision Tree Regressor, are evaluated for their predictive performance. + + ![image](https://github.com/Sgvkamalakar/Sgvkamalakar/assets/103712713/a4685674-218a-4b06-9d2b-a4d4ec27b73c) + +6. **Conclusion:** + - The notebook concludes with observations and recommendations for further analysis, highlighting the importance of feature selection and model optimization in accurately predicting scalar coupling constants. + + ![image](https://github.com/Sgvkamalakar/Sgvkamalakar/assets/103712713/7cec01b1-c254-4b1d-8991-f47b871387a5) + +### Mulliken Charge + +The `mulliken_charge.ipynb` notebook explores Mulliken charges obtained from Mulliken population analysis, offering insights into partial atomic charges estimation. + +1. **Data Loading and Exploration:** + - The notebook begins by loading the Mulliken charges dataset (`mulliken_charges.csv`) and the molecular structures dataset (`structures.csv`). + - Initial exploration is conducted to understand the structure and dimensions of the datasets. + +2. **Mulliken Charge Analysis:** + - Specific molecules' Mulliken charges are examined to observe their distribution and variations. + - Statistical summaries and visualizations, such as histograms, provide insights into the distribution of Mulliken charges across molecules. + + ![image](https://github.com/Sgvkamalakar/Sgvkamalakar/assets/103712713/7ad7edf9-326c-45cc-ab28-11ff50acc358) + +3. **Integration with Molecular Structures:** + - Mulliken charges are integrated with molecular structures data to analyze spatial relationships. + - A 3D scatter plot visualizes spatial coordinates alongside Mulliken charges, offering a comprehensive view of atomic charges' spatial distribution. + + ![newplot](https://github.com/Sgvkamalakar/Sgvkamalakar/assets/103712713/75d5aec6-f62d-49f8-a279-408fcaa3b789) + +4. **Atom-wise Charge Analysis:** + - The notebook explores Mulliken charges at the atom level, investigating how charges vary across different atom types. + - A box plot visualizes Mulliken charges grouped by atom type, highlighting differences in charge distributions among atoms. + + ![newplot](https://github.com/Sgvkamalakar/Sgvkamalakar/assets/103712713/6dcff582-5124-4e77-8679-897c5a7c081d) + +5. **Conclusion and Insights:** + - The notebook concludes with insights into the distribution and variation of Mulliken charges across molecules and atom types. + - Recommendations for further analysis or modeling based on observed patterns are provided. + +### Dipole Moments and Potential Energy + +The `dipole_moments_and_potential_energy.ipynb` notebook explores dipole moments and potential energy in molecular systems. + +1. **Dipole Moments Analysis:** + - The notebook begins by loading and examining the dipole moments dataset (`dipole_moments.csv`). + - Visualizations, including histograms and scatter plots, illustrate the distribution and relationships of dipole moments along X, Y, and Z coordinates. + + ![newplot](https://github.com/Sgvkamalakar/Sgvkamalakar/assets/103712713/4ac0ab70-ac13-4f1b-bc6b-00d5fba2de5f) + + - A 3D scatter plot showcases dipole moments' magnitude, offering insights into their spatial distribution and variation. + + ![image](https://github.com/Sgvkamalakar/Sgvkamalakar/assets/103712713/5593b3a8-eed0-400e-8afe-d82952942343) + +2. **Potential Energy Analysis:** + - The potential energy dataset (`potential_energy.csv`) is loaded and analyzed through histograms to understand its distribution across molecules. + + ![newplot (29)](https://github.com/Sgvkamalakar/Sgvkamalakar/assets/103712713/97f3d9ea-60dc-42c1-a65c-1f17deb81ed5) + + - Scatter plots visualize potential energy alongside dipole moments, providing insights into their potential relationship. + +3. **Integration and Correlation Analysis:** + - Dipole moments data is integrated with potential energy data, and correlation analysis is performed to identify relationships between variables. + - Heatmaps and pair plots visualize correlations between dipole moments, potential energy, and their components. + + ![image](https://github.com/Sgvkamalakar/Sgvkamalakar/assets/103712713/c78812f0-aff0-4107-a3a7-2d63855c5895) + +4. **Additional Insights:** + - Box plots offer further insights into potential energy distributions across molecules. + + ![newplot (30)](https://github.com/Sgvkamalakar/Sgvkamalakar/assets/103712713/b6aaa9dc-8839-4811-bcd6-cdcc26e7f0e7) + + - Various visualizations aid in understanding the interplay between dipole moments, potential energy, and molecular properties. + + +### โœ’๏ธ **Signature** + +

+ +

+

+ Kamalakar Satapathi +

+ + +Connect with me on [![LinkedIn](https://img.shields.io/badge/-Kamalakar_Satapathi-0077B5?style=flat-square&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/sgvkamalakar) + +Explore my codes [![GitHub](https://img.shields.io/badge/-Sgvkamalakar-181717?style=flat-square&logo=github)](https://github.com/sgvkamalakar) + diff --git a/Molecular Property Prediction/Models/model.h5 b/Molecular Property Prediction/Models/model.h5 new file mode 100644 index 000000000..b7ca17536 Binary files /dev/null and b/Molecular Property Prediction/Models/model.h5 differ diff --git a/Molecular Property Prediction/README.md b/Molecular Property Prediction/README.md new file mode 100644 index 000000000..9e3566b99 --- /dev/null +++ b/Molecular Property Prediction/README.md @@ -0,0 +1,237 @@ +## Molecular Property Prediction & EDA + +### ๐ŸŽฏ **Goal** + +The goal of this project is to develop predictive models for estimating scalar coupling constants between atom pairs in molecules based on their structural features. Additionally, the project aims to conduct exploratory data analysis (EDA) to gain insights into the relationships between molecular properties and their structural characteristics, facilitating a deeper understanding of molecular behavior and interactions. + +### ๐Ÿงต **Dataset** + +The dataset for this project is sourced from the "Predicting Molecular Properties" competition hosted on Kaggle, titled [CHAMPS Scalar Coupling](https://www.kaggle.com/competitions/champs-scalar-coupling/data) + +### ๐Ÿงพ **Description** + + +Molecular properties play a crucial role in understanding chemical interactions and reactions, with applications spanning drug discovery, materials science, and environmental research. Predicting these properties accurately is essential for advancing various scientific domains. This project aims to develop predictive models for estimating scalar coupling constants between atom pairs in molecules and conducting exploratory data analysis (EDA) to gain insights into molecular behavior and interactions. + +The ultimate goal is to accurately predict the scalar coupling constant for the atom pairs listed in the test dataset. + + +### ๐Ÿ“œ **Repo Structure** + +```bash +Molecular Property Prediction & EDA + +|- Dataset + |- README.md +|- Images + |- img1.png + |- img2.png + : + : + |- img11.png + |- README.md +|- Models + |- Notebook.ipynb + |- mulliken_charge.ipynb + |- dipole_moments_and_potential_energy.ipynb + |- model.h5 + |- README.md +|- requirements.txt +|- README.md + +``` + +### ๐Ÿงฎ **What I had done!** + +- Data Preparation and Cleaning: + - Loading Data: Importing datasets such as `train.csv`,`structures.csv`, `mulliken_charges.csv`, and `dipole_moments.csv`. + + - Merging Data: Combining different datasets for a comprehensive analysis. + + - Data Cleaning: Handling missing values, filtering data, and ensuring data consistency. + +- Exploratory Data Analysis (EDA) + + **Interactive 3D Visualization of Molecular Structures: Atoms are color-coded (H-๐ŸŸฃ, C-โšซ, O-๐Ÿ”ด, N-๐Ÿ”ต, F-๐ŸŸข)** + + + + ---- + + **Distribution of Unique Atom Counts in Molecules** + + + + ---- + + **Scatter Plot of Bond Distance vs. 1st Neighbor Distance** + + + + ---- + + - Scalar Coupling Constants: + + Analyzing the distribution and characteristics of scalar coupling constants. + + ![image](https://github.com/Sgvkamalakar/Sgvkamalakar/assets/103712713/bd828496-21e1-4545-9319-9c85d6e3531a) + + Visualizing the scalar coupling constants through histograms and scatter plots. + + - Mulliken Charges: + + Exploring the distribution of Mulliken charges. + + ![image](https://github.com/Sgvkamalakar/Sgvkamalakar/assets/103712713/7ad7edf9-326c-45cc-ab28-11ff50acc358) + + Visualizing Mulliken charges using boxplots, histograms and 3D scatter plots. + + ![newplot](https://github.com/Sgvkamalakar/Sgvkamalakar/assets/103712713/6dcff582-5124-4e77-8679-897c5a7c081d) + + - Dipole Moments: + + Analyzing the distribution of dipole moments along different coordinates. + + ![image](https://github.com/Sgvkamalakar/Sgvkamalakar/assets/103712713/ed18cdc6-f4ec-4cf9-8bf6-e3cc98641a18) + + Visualizing the dipole moments through 2D scatter plots and 3D scatter plots. + + ![image](https://github.com/Sgvkamalakar/Sgvkamalakar/assets/103712713/5593b3a8-eed0-400e-8afe-d82952942343) + + - Potential Energy: + + Exploring the distribution of potential energy values. + + ![newplot](https://github.com/Sgvkamalakar/Sgvkamalakar/assets/103712713/77e949a3-c95e-47e7-abc2-c15317d2260f) + + Visualizing the potential energy through histograms and scatter plots. + +- Feature Engineering + - Generating Features: Creating new features based on atomic interactions and spatial coordinates. + + - Standardization: Standardizing molecular data to ensure consistency across different molecules. + +- Model Building and Evaluation + - Feature Selection: Selecting relevant features for model training. + + - Model Training: Training different regression models to predict scalar coupling constants. + Linear Regression + Random Forest Regressor + K Nearest Neighbors + Support Vector Regressor + Decision Tree Regressor + +- Model Evaluation: Evaluating models using metrics such as Mean Absolute Error (MAE), Mean Squared Error (MSE), and Rยฒ score. + +![image](https://github.com/Sgvkamalakar/Sgvkamalakar/assets/103712713/a4685674-218a-4b06-9d2b-a4d4ec27b73c) + +---- + +![image](https://github.com/Sgvkamalakar/Sgvkamalakar/assets/103712713/469d5d8b-e310-448d-9530-b8584c0b87cf) + +---- + +![image](https://github.com/Sgvkamalakar/Sgvkamalakar/assets/103712713/b05146d6-852e-4bdd-9712-2c2c52239ff7) + +---- + +![image](https://github.com/Sgvkamalakar/Sgvkamalakar/assets/103712713/7cec01b1-c254-4b1d-8991-f47b871387a5) + +---- + +### ๐Ÿš€ **Models Implemented** + +- Linear Regressor +- Random Forest Regressor +- K Nearest Neighbors +- Support Vector Regressor +- Decision Tree Regressor +- Simple Feed Forward Neural Network + +### ๐Ÿ“š **Libraries** + +tensorflow + +### โš™๏ธ **Usage** + + +1. Install Dependencies: Ensure you have all the required dependencies by running: + ```bash + pip install -r requirements.txt + + ``` +2. Open the Notebooks: You can open the notebooks in Jupyter Notebook or JupyterLab. Navigate to the Models folder and open the desired notebook. + +3. Run the Cells: Execute the cells sequentially to reproduce the analyses and results. Each notebook is designed to be self-contained, with explanations and comments for each code snippet. + +4. Explore the Visualizations: Use the visualizations in the Images folder to gain insights into the molecular data. The images are referenced within the notebooks to provide context. + + + +### ๐Ÿ“ˆ **Performance of the Models based on the Accuracy Scores** + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Model NameMAEMSER2
Linear Regressor8.6099176.9550.8536
Random Forest Regressor1.66708.01060.9934
K Nearest Neighbors2.106817.14770.9858
Support Vector Regressor8.0809193.6590.8398
Decision Tree Regressor2.184215.00230.9876
Feed Forward NN----31.2838----
+ + +
+ + +### โœ’๏ธ **Signature** + +

+ +

+

+ Kamalakar Satapathi +

+ + +Connect with me on [![LinkedIn](https://img.shields.io/badge/-Kamalakar_Satapathi-0077B5?style=flat-square&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/sgvkamalakar) + +Explore my codes [![GitHub](https://img.shields.io/badge/-Sgvkamalakar-181717?style=flat-square&logo=github)](https://github.com/sgvkamalakar)