Prediction pipeline compound features.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "f2eb8ce5",
   "metadata": {},
   "source": [
    "### Import libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "92e75651",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from rdkit import Chem\n",
    "from rdkit.Chem import AllChem\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "from sklearn.metrics import r2_score, mean_squared_error, mean_absolute_error"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "04c0353b",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CID</th>\n",
       "      <th>SMILES</th>\n",
       "      <th>MolecularFormula</th>\n",
       "      <th>MolecularWeight</th>\n",
       "      <th>IUPACName</th>\n",
       "      <th>XLogP</th>\n",
       "      <th>ExactMass</th>\n",
       "      <th>TPSA</th>\n",
       "      <th>Complexity</th>\n",
       "      <th>Charge</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4</td>\n",
       "      <td>CC(CN)O</td>\n",
       "      <td>C3H9NO</td>\n",
       "      <td>75.11</td>\n",
       "      <td>1-aminopropan-2-ol</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>75.068413911</td>\n",
       "      <td>46.2</td>\n",
       "      <td>22.9</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6</td>\n",
       "      <td>C1=CC(=C(C=C1[N+](=O)[O-])[N+](=O)[O-])Cl</td>\n",
       "      <td>C6H3ClN2O4</td>\n",
       "      <td>202.55</td>\n",
       "      <td>1-chloro-2,4-dinitrobenzene</td>\n",
       "      <td>2.3</td>\n",
       "      <td>201.9781343</td>\n",
       "      <td>91.6</td>\n",
       "      <td>224.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>11</td>\n",
       "      <td>C(CCl)Cl</td>\n",
       "      <td>C2H4Cl2</td>\n",
       "      <td>98.96</td>\n",
       "      <td>1,2-dichloroethane</td>\n",
       "      <td>1.5</td>\n",
       "      <td>97.9690055</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>13</td>\n",
       "      <td>C1=CC(=C(C=C1Cl)Cl)Cl</td>\n",
       "      <td>C6H3Cl3</td>\n",
       "      <td>181.4</td>\n",
       "      <td>1,2,4-trichlorobenzene</td>\n",
       "      <td>4.0</td>\n",
       "      <td>179.930033</td>\n",
       "      <td>0.0</td>\n",
       "      <td>94.3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>19</td>\n",
       "      <td>C1=CC(=C(C(=C1)O)O)C(=O)O</td>\n",
       "      <td>C7H6O4</td>\n",
       "      <td>154.12</td>\n",
       "      <td>2,3-dihydroxybenzoic acid</td>\n",
       "      <td>1.2</td>\n",
       "      <td>154.02660867</td>\n",
       "      <td>77.8</td>\n",
       "      <td>157.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44996</th>\n",
       "      <td>180258</td>\n",
       "      <td>C1=CC=C(C=C1)C2=CC=C(C=C2)CCNC3=NC=NC4=CC=CC=C43</td>\n",
       "      <td>C22H19N3</td>\n",
       "      <td>325.4</td>\n",
       "      <td>N-[2-(4-phenylphenyl)ethyl]quinazolin-4-amine</td>\n",
       "      <td>6.0</td>\n",
       "      <td>325.157897619</td>\n",
       "      <td>37.8</td>\n",
       "      <td>385.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44997</th>\n",
       "      <td>180259</td>\n",
       "      <td>CCCCOC1=CC=C(C=C1)CCOC2=NC=NC3=CC=CC=C32</td>\n",
       "      <td>C20H22N2O2</td>\n",
       "      <td>322.4</td>\n",
       "      <td>4-[2-(4-butoxyphenyl)ethoxy]quinazoline</td>\n",
       "      <td>5.3</td>\n",
       "      <td>322.168127949</td>\n",
       "      <td>44.2</td>\n",
       "      <td>345.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44998</th>\n",
       "      <td>180497</td>\n",
       "      <td>CCCCN1CCC(CC1)(C2=CC=CC=C2)O.CCCC(=O)O.Cl</td>\n",
       "      <td>C19H32ClNO3</td>\n",
       "      <td>357.9</td>\n",
       "      <td>butanoic acid;1-butyl-4-phenylpiperidin-4-ol;h...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>357.2070716</td>\n",
       "      <td>60.8</td>\n",
       "      <td>265.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44999</th>\n",
       "      <td>180499</td>\n",
       "      <td>CCCC(=O)O.CN1CCC(CC1)(C2=CC=CC=C2)O.Cl</td>\n",
       "      <td>C16H26ClNO3</td>\n",
       "      <td>315.83</td>\n",
       "      <td>butanoic acid;1-methyl-4-phenylpiperidin-4-ol;...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>315.1601214</td>\n",
       "      <td>60.8</td>\n",
       "      <td>228.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45000</th>\n",
       "      <td>180501</td>\n",
       "      <td>CCCCC1=CC=CC=C1OCCO</td>\n",
       "      <td>C12H18O2</td>\n",
       "      <td>194.27</td>\n",
       "      <td>2-(2-butylphenoxy)ethanol</td>\n",
       "      <td>3.1</td>\n",
       "      <td>194.130679813</td>\n",
       "      <td>29.5</td>\n",
       "      <td>136.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>45001 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          CID                                            SMILES  \\\n",
       "0           4                                           CC(CN)O   \n",
       "1           6         C1=CC(=C(C=C1[N+](=O)[O-])[N+](=O)[O-])Cl   \n",
       "2          11                                          C(CCl)Cl   \n",
       "3          13                             C1=CC(=C(C=C1Cl)Cl)Cl   \n",
       "4          19                         C1=CC(=C(C(=C1)O)O)C(=O)O   \n",
       "...       ...                                               ...   \n",
       "44996  180258  C1=CC=C(C=C1)C2=CC=C(C=C2)CCNC3=NC=NC4=CC=CC=C43   \n",
       "44997  180259          CCCCOC1=CC=C(C=C1)CCOC2=NC=NC3=CC=CC=C32   \n",
       "44998  180497         CCCCN1CCC(CC1)(C2=CC=CC=C2)O.CCCC(=O)O.Cl   \n",
       "44999  180499            CCCC(=O)O.CN1CCC(CC1)(C2=CC=CC=C2)O.Cl   \n",
       "45000  180501                               CCCCC1=CC=CC=C1OCCO   \n",
       "\n",
       "      MolecularFormula MolecularWeight  \\\n",
       "0               C3H9NO           75.11   \n",
       "1           C6H3ClN2O4          202.55   \n",
       "2              C2H4Cl2           98.96   \n",
       "3              C6H3Cl3           181.4   \n",
       "4               C7H6O4          154.12   \n",
       "...                ...             ...   \n",
       "44996         C22H19N3           325.4   \n",
       "44997       C20H22N2O2           322.4   \n",
       "44998      C19H32ClNO3           357.9   \n",
       "44999      C16H26ClNO3          315.83   \n",
       "45000         C12H18O2          194.27   \n",
       "\n",
       "                                               IUPACName  XLogP  \\\n",
       "0                                     1-aminopropan-2-ol   -1.0   \n",
       "1                            1-chloro-2,4-dinitrobenzene    2.3   \n",
       "2                                     1,2-dichloroethane    1.5   \n",
       "3                                 1,2,4-trichlorobenzene    4.0   \n",
       "4                              2,3-dihydroxybenzoic acid    1.2   \n",
       "...                                                  ...    ...   \n",
       "44996      N-[2-(4-phenylphenyl)ethyl]quinazolin-4-amine    6.0   \n",
       "44997            4-[2-(4-butoxyphenyl)ethoxy]quinazoline    5.3   \n",
       "44998  butanoic acid;1-butyl-4-phenylpiperidin-4-ol;h...    NaN   \n",
       "44999  butanoic acid;1-methyl-4-phenylpiperidin-4-ol;...    NaN   \n",
       "45000                          2-(2-butylphenoxy)ethanol    3.1   \n",
       "\n",
       "           ExactMass  TPSA  Complexity  Charge  \n",
       "0       75.068413911  46.2        22.9       0  \n",
       "1        201.9781343  91.6       224.0       0  \n",
       "2         97.9690055   0.0         6.0       0  \n",
       "3         179.930033   0.0        94.3       0  \n",
       "4       154.02660867  77.8       157.0       0  \n",
       "...              ...   ...         ...     ...  \n",
       "44996  325.157897619  37.8       385.0       0  \n",
       "44997  322.168127949  44.2       345.0       0  \n",
       "44998    357.2070716  60.8       265.0       0  \n",
       "44999    315.1601214  60.8       228.0       0  \n",
       "45000  194.130679813  29.5       136.0       0  \n",
       "\n",
       "[45001 rows x 10 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_pickle('FeatureCompunds.pkl')\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "72c4b068",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[10:49:38] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:40] Explicit valence for atom # 1 Cl, 7, is greater than permitted\n",
      "[10:49:40] Explicit valence for atom # 1 Br, 3, is greater than permitted\n",
      "[10:49:40] Explicit valence for atom # 1 Br, 5, is greater than permitted\n",
      "[10:49:40] Explicit valence for atom # 1 Cl, 3, is greater than permitted\n",
      "[10:49:40] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:40] Explicit valence for atom # 1 Si, 8, is greater than permitted\n",
      "[10:49:40] Explicit valence for atom # 1 Si, 8, is greater than permitted\n",
      "[10:49:40] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:40] Explicit valence for atom # 1 Si, 8, is greater than permitted\n",
      "[10:49:40] Explicit valence for atom # 3 Si, 8, is greater than permitted\n",
      "[10:49:40] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:40] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:40] Explicit valence for atom # 1 Si, 8, is greater than permitted\n",
      "[10:49:40] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:40] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:40] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:41] Explicit valence for atom # 1 Ge, 8, is greater than permitted\n",
      "[10:49:42] Explicit valence for atom # 5 Cl, 3, is greater than permitted\n",
      "[10:49:44] Explicit valence for atom # 1 Cl, 5, is greater than permitted\n",
      "[10:49:44] Explicit valence for atom # 1 Si, 8, is greater than permitted\n",
      "[10:49:44] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:44] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:44] Explicit valence for atom # 1 Si, 8, is greater than permitted\n",
      "[10:49:44] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:45] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:45] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:45] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:45] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:45] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:45] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:45] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:45] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:46] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:46] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:46] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:46] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:46] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:46] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:46] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:46] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:46] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:46] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:46] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:46] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:46] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:46] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:46] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:46] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:46] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:46] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:46] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:46] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:46] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:46] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:46] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:46] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:46] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:47] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:47] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:47] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:47] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:47] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:47] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:47] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:47] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:47] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:47] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:47] WARNING: not removing hydrogen atom without neighbors\n",
      "[10:49:47] WARNING: not removing hydrogen atom without neighbors\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[11710,\n",
       " 11892,\n",
       " 11902,\n",
       " 11926,\n",
       " 13680,\n",
       " 13681,\n",
       " 13685,\n",
       " 13690,\n",
       " 13751,\n",
       " 16833,\n",
       " 24664,\n",
       " 29669,\n",
       " 29723,\n",
       " 29728]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_pickle('FeatureCompunds.pkl')\n",
    "df\n",
    "fault = []\n",
    "\n",
    "for smiles, idx in zip(df['SMILES'], df.index.to_list()):\n",
    "    try: \n",
    "        # Convert the SMILES string to an RDKit molecule object\n",
    "        mol = Chem.MolFromSmiles(smiles)\n",
    "\n",
    "        # Compute the Morgan fingerprint for the molecule\n",
    "        fp = AllChem.GetMorganFingerprintAsBitVect(mol, 2)\n",
    "    except:\n",
    "        fault.append(idx)\n",
    "fault"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "b266f43e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[12:49:15] WARNING: not removing hydrogen atom without neighbors\n",
      "[12:50:01] WARNING: not removing hydrogen atom without neighbors\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                R2          MSE        MAE\n",
      "LightGBM  0.798687  2506.038829  24.598702\n",
      "                                  R2          MSE        MAE\n",
      "LightGBM                    0.798687  2506.038829  24.598702\n",
      "LightGBM - MolecularWeight  0.828115  3100.787830  38.122108\n",
      "LightGBM - XLogP            0.752781     1.185681   0.738959\n",
      "LightGBM - ExactMass        0.827442  3108.330379  38.033040\n",
      "LightGBM - TPSA             0.848194   316.564363  11.175260\n",
      "LightGBM - Complexity       0.850003  8509.362554  59.515318\n",
      "LightGBM - Charge           0.685587     0.002167   0.007527\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.svm import SVR\n",
    "from sklearn.multioutput import MultiOutputRegressor\n",
    "import xgboost as xgb\n",
    "import lightgbm as lgb\n",
    "from sklearn.metrics import r2_score, mean_squared_error, mean_absolute_error\n",
    "\n",
    "# Load the dataset into a Pandas DataFrame\n",
    "df = pd.read_pickle('FeatureCompunds.pkl')\n",
    "df.drop(index=fault, axis=0, inplace=True)\n",
    "df.dropna(inplace=True)\n",
    "\n",
    "# Convert the SMILES strings into molecular fingerprints or descriptors\n",
    "X = np.array([list(AllChem.GetMorganFingerprintAsBitVect(Chem.MolFromSmiles(smiles), 2)) for smiles in df['SMILES']])\n",
    "y = df.drop(['SMILES', 'CID', 'MolecularFormula', 'IUPACName'], axis=1).values\n",
    "\n",
    "# Split the data into training and testing sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
    "\n",
    "# Train multiple machine learning models with multi-output regression\n",
    "models = {\n",
    "    'RandomForestRegressor': MultiOutputRegressor(RandomForestRegressor(n_estimators=100, random_state=42)),\n",
    "    'LinearRegression': MultiOutputRegressor(LinearRegression()),\n",
    "#     'SVR': MultiOutputRegressor(SVR()),\n",
    "    'XGBoost': MultiOutputRegressor(xgb.XGBRegressor()),\n",
    "    'LightGBM': MultiOutputRegressor(lgb.LGBMRegressor())\n",
    "}\n",
    "\n",
    "results = {}\n",
    "for name, model in models.items():\n",
    "    model.fit(X_train, y_train)\n",
    "    y_pred = model.predict(X_test)\n",
    "    results[name] = {\n",
    "        'R2': r2_score(y_test, y_pred),\n",
    "        'MSE': mean_squared_error(y_test, y_pred),\n",
    "        'MAE': mean_absolute_error(y_test, y_pred)\n",
    "    }\n",
    "\n",
    "# Evaluate the performance of each algorithm\n",
    "print(pd.DataFrame.from_dict(results, orient='index'))\n",
    "\n",
    "# Evaluate the performance of each algorithm for each feature\n",
    "columns = ['MolecularWeight', 'XLogP', 'ExactMass', 'TPSA', 'Complexity', 'Charge']\n",
    "for name, model in models.items():\n",
    "    for i, feature in enumerate(columns):\n",
    "        r2 = r2_score(y_test[:, i], y_pred[:, i])\n",
    "        mse = mean_squared_error(y_test[:, i], y_pred[:, i])\n",
    "        mae = mean_absolute_error(y_test[:, i], y_pred[:, i])\n",
    "        results[f'{name} - {feature}'] = {'R2': r2, 'MSE': mse, 'MAE': mae}\n",
    "        \n",
    "        if name == 'RandomForestRegressor':\n",
    "            RFDF = pd.DataFrame.from_dict(results, orient='index')\n",
    "        elif name == 'LinearRegression':\n",
    "            LRDF = pd.DataFrame.from_dict(results, orient='index')\n",
    "        elif name == 'XGBoost':\n",
    "            xgbDF = pd.DataFrame.from_dict(results, orient='index')\n",
    "        elif name == 'LightGBM':\n",
    "            GBMDF = pd.DataFrame.from_dict(results, orient='index')\n",
    "        \n",
    "merged_df = pd.concat([xgbDF, RFDF, LRDF, GBMDF]).reset_index()\n",
    "merged_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "5834624f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([0, 1, 2, 3]),\n",
       " [Text(0, 0, 'XGBoost - MolecularWeight'),\n",
       "  Text(1, 0, 'RandomForestRegressor - MolecularWeight'),\n",
       "  Text(2, 0, 'LinearRegression - MolecularWeight'),\n",
       "  Text(3, 0, 'LightGBM - MolecularWeight')])"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "filtered_df = merged_df[merged_df['index'].str.endswith('MolecularWeight')]\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(8, 6))\n",
    "filtered_df.set_index('index')['MSE'].plot(kind='bar', color=colors, ax=ax)\n",
    "plt.title('MolecularWeight MSE Score Comparison')\n",
    "plt.xlabel('Model')\n",
    "plt.ylabel('MSE Score')\n",
    "plt.xticks(rotation=30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "6d1efe37",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([0, 1, 2, 3]),\n",
       " [Text(0, 0, 'XGBoost - XLogP'),\n",
       "  Text(1, 0, 'RandomForestRegressor - XLogP'),\n",
       "  Text(2, 0, 'LinearRegression - XLogP'),\n",
       "  Text(3, 0, 'LightGBM - XLogP')])"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "filtered_df = merged_df[merged_df['index'].str.endswith('XLogP')]\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(8, 6))\n",
    "filtered_df.set_index('index')['MSE'].plot(kind='bar', color=colors, ax=ax)\n",
    "plt.title('XLogP MSE Score Comparison')\n",
    "plt.xlabel('Model')\n",
    "plt.ylabel('MSE Score')\n",
    "plt.xticks(rotation=30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "c89d530b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([0, 1, 2, 3]),\n",
       " [Text(0, 0, 'XGBoost - ExactMass'),\n",
       "  Text(1, 0, 'RandomForestRegressor - ExactMass'),\n",
       "  Text(2, 0, 'LinearRegression - ExactMass'),\n",
       "  Text(3, 0, 'LightGBM - ExactMass')])"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "filtered_df = merged_df[merged_df['index'].str.endswith('ExactMass')]\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(8, 6))\n",
    "filtered_df.set_index('index')['MSE'].plot(kind='bar', color=colors, ax=ax)\n",
    "plt.title('Exact Mass MSE Score Comparison')\n",
    "plt.xlabel('Model')\n",
    "plt.ylabel('MSE Score')\n",
    "plt.xticks(rotation=30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "6f804751",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([0, 1, 2, 3]),\n",
       " [Text(0, 0, 'XGBoost - TPSA'),\n",
       "  Text(1, 0, 'RandomForestRegressor - TPSA'),\n",
       "  Text(2, 0, 'LinearRegression - TPSA'),\n",
       "  Text(3, 0, 'LightGBM - TPSA')])"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "filtered_df = merged_df[merged_df['index'].str.endswith('TPSA')]\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(8, 6))\n",
    "filtered_df.set_index('index')['MSE'].plot(kind='bar', color=colors, ax=ax)\n",
    "plt.title('TPSA MSE Score Comparison')\n",
    "plt.xlabel('Model')\n",
    "plt.ylabel('MSE Score')\n",
    "plt.xticks(rotation=30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "816a30a0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([0, 1, 2, 3]),\n",
       " [Text(0, 0, 'XGBoost - Complexity'),\n",
       "  Text(1, 0, 'RandomForestRegressor - Complexity'),\n",
       "  Text(2, 0, 'LinearRegression - Complexity'),\n",
       "  Text(3, 0, 'LightGBM - Complexity')])"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "filtered_df = merged_df[merged_df['index'].str.endswith('Complexity')]\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(8, 6))\n",
    "filtered_df.set_index('index')['MSE'].plot(kind='bar', color=colors, ax=ax)\n",
    "plt.title('Complexity MSE Score Comparison')\n",
    "plt.xlabel('Model')\n",
    "plt.ylabel('MSE Score')\n",
    "plt.xticks(rotation=30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "b5c77a7a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([0, 1, 2, 3]),\n",
       " [Text(0, 0, 'XGBoost - Charge'),\n",
       "  Text(1, 0, 'RandomForestRegressor - Charge'),\n",
       "  Text(2, 0, 'LinearRegression - Charge'),\n",
       "  Text(3, 0, 'LightGBM - Charge')])"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "filtered_df = merged_df[merged_df['index'].str.endswith('Charge')]\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(8, 6))\n",
    "filtered_df.set_index('index')['MSE'].plot(kind='bar', color=colors, ax=ax)\n",
    "plt.title('Charge MSE Score Comparison')\n",
    "plt.xlabel('Model')\n",
    "plt.ylabel('MSE Score')\n",
    "plt.xticks(rotation=30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "afea50ea",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([0, 1, 2, 3]),\n",
       " [Text(0, 0, 'XGBoost'),\n",
       "  Text(1, 0, 'RandomForestRegressor'),\n",
       "  Text(2, 0, 'LinearRegression'),\n",
       "  Text(3, 0, 'LightGBM')])"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "colors = ['skyblue', 'lightgreen', 'orange', 'pink']\n",
    "filtered_df = merged_df[merged_df['index'].isin(['XGBoost', 'RandomForestRegressor', 'LinearRegression', 'LightGBM'])]\n",
    "\n",
    "# Plot the filtered DataFrame with colors\n",
    "fig, ax = plt.subplots(figsize=(8, 6))\n",
    "\n",
    "filtered_df.set_index('index')['R2'].plot(kind='bar', color=colors, ax=ax)\n",
    "plt.title('R2 Score Comparison')\n",
    "plt.xlabel('Model')\n",
    "plt.ylabel('R2 Score')\n",
    "plt.xticks(rotation=30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "10288b6c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([0, 1, 2, 3]),\n",
       " [Text(0, 0, 'XGBoost'),\n",
       "  Text(1, 0, 'RandomForestRegressor'),\n",
       "  Text(2, 0, 'LinearRegression'),\n",
       "  Text(3, 0, 'LightGBM')])"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "colors = ['skyblue', 'lightgreen', 'orange', 'pink']\n",
    "\n",
    "filtered_df = merged_df[merged_df['index'].isin(['XGBoost', 'RandomForestRegressor', 'LinearRegression', 'LightGBM'])]\n",
    "\n",
    "# Plot the filtered DataFrame with colors\n",
    "fig, ax = plt.subplots(figsize=(8, 6))\n",
    "\n",
    "filtered_df.set_index('index')['MSE'].plot(kind='bar', color=colors, ax=ax)\n",
    "plt.title('Mean Squared Error Comparison')\n",
    "plt.xlabel('Model')\n",
    "plt.ylabel('MSE Score')\n",
    "plt.xticks(rotation=30)"
   ]
  }
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