band_gap_first_pass.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Perform a basic first pass on 'Zhou et al. Band gap data'\n",
    "\n",
    "## Import the libraries we will be using"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\ensemble\\weight_boosting.py:29: DeprecationWarning: numpy.core.umath_tests is an internal NumPy module and should not be imported. It will be removed in a future NumPy release.\n",
      "  from numpy.core.umath_tests import inner1d\n"
     ]
    }
   ],
   "source": [
    "# read in data with pandas\n",
    "import pandas as pd\n",
    "# use numpy for vector and matrix operations\n",
    "import numpy as np\n",
    "\n",
    "# composition is a custom made python file that generates composition-based feature vectors (CBFV)\n",
    "import composition\n",
    "# utils is a custom made python file that has some useful functions\n",
    "import utils\n",
    "\n",
    "# make nice figures\n",
    "import matplotlib.pyplot as plt\n",
    "# machine learnign algorithms\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Process the data and get it formated for machine learning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# read in band gap data from Zhou et al. publication:\n",
    "# J. Phys. Chem. Lett., 2018, 9 (7), pp 1668–1673\n",
    "#DOI: 10.1021/acs.jpclett.8b00124\n",
    "#Publication Date (Web): March 13, 2018\n",
    "df_band_gap = pd.read_excel('jz8b00124_si_002.xlsx')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>composition</th>\n",
       "      <th>Eg (eV)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Hg0.7Cd0.3Te</td>\n",
       "      <td>0.350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>CuBr</td>\n",
       "      <td>3.077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>LuP</td>\n",
       "      <td>1.300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Cu3SbSe4</td>\n",
       "      <td>0.400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ZnO</td>\n",
       "      <td>3.436</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    composition  Eg (eV)\n",
       "0  Hg0.7Cd0.3Te    0.350\n",
       "1          CuBr    3.077\n",
       "2           LuP    1.300\n",
       "3      Cu3SbSe4    0.400\n",
       "4           ZnO    3.436"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_band_gap.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# rename columns for use with feature generation\n",
    "df_band_gap.columns = ['formula', 'target']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Featurize the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
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      "There was an error with the formula: \"VCu3(PO4)4,6\", please check the formatting\n",
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      "There was an error with the formula: \"Li4FeNi3O8,2\", please check the formatting\n",
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      "There was an error with the formula: \"FeAg3(CN)6,162\", please check the formatting\n"
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      "There was an error with the formula: \"RbNa2NiO2,139\", please check the formatting\n",
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      "There was an error with the formula: \"PH2NO2,67\", please check the formatting\n",
      "There was an error with the formula: \"Li6Mn5FeO12,12\", please check the formatting\n",
      "There was an error with the formula: \"CoH2(SN)4,14\", please check the formatting\n",
      "There was an error with the formula: \"Li3Mn3WO8,166\", please check the formatting\n",
      "There was an error with the formula: \"LiFe2(SiO4)2,1\", please check the formatting\n",
      "There was an error with the formula: \"Li5Mn5(SbO6)2,5\", please check the formatting\n",
      "There was an error with the formula: \"Eu2BaMn2O7,63\", please check the formatting\n",
      "There was an error with the formula: \"Mg2GeB2Rh5,127\", please check the formatting\n",
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      "There was an error with the formula: \"SrNi2(PO4)2,2\", please check the formatting\n",
      "There was an error with the formula: \"LiLa2IrO6,14\", please check the formatting\n",
      "There was an error with the formula: \"Li3Mn2CuO6,12\", please check the formatting\n",
      "There was an error with the formula: \"Li2Fe3NiO8,160\", please check the formatting\n",
      "There was an error with the formula: \"Mg3Al9FeSi5,189\", please check the formatting\n",
      "There was an error with the formula: \"Li3Cu4NiO8,12\", please check the formatting\n",
      "There was an error with the formula: \"LiMnSiO4,63\", please check the formatting\n",
      "There was an error with the formula: \"Li4Fe3NiO8,166\", please check the formatting\n",
      "There was an error with the formula: \"Ag2P2PbO7,2\", please check the formatting\n",
      "There was an error with the formula: \"Li3Ni2(GeO4)3,230\", please check the formatting\n",
      "There was an error with the formula: \"LiSn(PO3)4,15\", please check the formatting\n",
      "There was an error with the formula: \"LiZn(Fe5O8)2,160\", please check the formatting\n",
      "There was an error with the formula: \"Ba2ReNiO6,225\", please check the formatting\n",
      "There was an error with the formula: \"Na5Fe6(SiO3)12,5\", please check the formatting\n",
      "There was an error with the formula: \"V2Sb(PO4)3,167\", please check the formatting\n",
      "There was an error with the formula: \"Sc2FeB2Ir5,127\", please check the formatting\n",
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      "There was an error with the formula: \"Li2Fe3NiO8,212\", please check the formatting\n",
      "There was an error with the formula: \"Li2Ti3FeO8,160\", please check the formatting\n",
      "There was an error with the formula: \"CuP2(HO3)2,14\", please check the formatting\n",
      "There was an error with the formula: \"BaMn4ZnO8,162\", please check the formatting\n",
      "There was an error with the formula: \"Mn3V2(SiO4)3,230\", please check the formatting\n",
      "There was an error with the formula: \"LaMg(FeO3)2,31\", please check the formatting\n",
      "The element: Eu from formula EuZn2Ge2 is not currently supported in our database\n",
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      "There was an error with the formula: \"Cs2SeClF6,225\", please check the formatting\n",
      "There was an error with the formula: \"Ba3Nb2CoO9,164\", please check the formatting\n",
      "There was an error with the formula: \"BaLa2CoS5,140\", please check the formatting\n",
      "There was an error with the formula: \"Rb2NaVF6,225\", please check the formatting\n",
      "There was an error with the formula: \"Rb4Si2CuO7,2\", please check the formatting\n",
      "There was an error with the formula: \"Mg4Sc3(SiO3)8,3\", please check the formatting\n",
      "There was an error with the formula: \"Li5Co2O2F5,139\", please check the formatting\n",
      "There was an error with the formula: \"NaFe2(SiO3)4,5\", please check the formatting\n",
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      "There was an error with the formula: \"YbCaInSe4,62\", please check the formatting\n",
      "There was an error with the formula: \"Li8Ti16CuS32,1\", please check the formatting\n",
      "There was an error with the formula: \"Sr2Li2Nb3O10,42\", please check the formatting\n",
      "There was an error with the formula: \"Li2Si4Ni5O14,2\", please check the formatting\n",
      "The element: Eu from formula Eu2CaO3 is not currently supported in our database\n",
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      "The element: Pm from formula Pm3I is not currently supported in our database\n",
      "The element: Pm from formula Pm2IrRh is not currently supported in our database\n",
      "There was an error with the formula: \"RbCuPdF5,62\", please check the formatting\n",
      "There was an error with the formula: \"EuCuSeO,129\", please check the formatting\n",
      "There was an error with the formula: \"YbH2ClO2,11\", please check the formatting\n",
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      "There was an error with the formula: \"K3LiNb6O15,7\", please check the formatting\n",
      "There was an error with the formula: \"Ba2FeReO6,225\", please check the formatting\n",
      "There was an error with the formula: \"LiV2NiO6,15\", please check the formatting\n",
      "There was an error with the formula: \"SnSb3(PO4)4,6\", please check the formatting\n",
      "The element: Eu from formula EuTl is not currently supported in our database\n",
      "There was an error with the formula: \"Li2MnCo3O8,186\", please check the formatting\n",
      "There was an error with the formula: \"Y3Al3NiGe2,189\", please check the formatting\n",
      "There was an error with the formula: \"SrLa3MnO8,63\", please check the formatting\n",
      "The element: Eu from formula Eu2CuO4 is not currently supported in our database\n",
      "There was an error with the formula: \"Nb3V(PO4)6,146\", please check the formatting\n",
      "There was an error with the formula: \"Li13Nb14ZnO42,1\", please check the formatting\n",
      "There was an error with the formula: \"Li3V4FeO12,5\", please check the formatting\n",
      "There was an error with the formula: \"Cu2HgGeSe4,121\", please check the formatting\n",
      "There was an error with the formula: \"AlFe4(CuO4)3,204\", please check the formatting\n",
      "There was an error with the formula: \"SmNi2B2C,139\", please check the formatting\n",
      "There was an error with the formula: \"La2Nb2N2O5,1\", please check the formatting\n",
      "There was an error with the formula: \"Ba2ScIrO6,225\", please check the formatting\n",
      "There was an error with the formula: \"Mg2CuWO6,1\", please check the formatting\n",
      "There was an error with the formula: \"Ba2UCuO6,139\", please check the formatting\n"
     ]
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     "text": [
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      "The element: Eu from formula EuNi2As2 is not currently supported in our database\n",
      "There was an error with the formula: \"Te2Mo2WSe4,156\", please check the formatting\n",
      "There was an error with the formula: \"LiBi2(PO4)3,15\", please check the formatting\n",
      "There was an error with the formula: \"K2B10H9O,14\", please check the formatting\n",
      "There was an error with the formula: \"Ba2FeMoO6,225\", please check the formatting\n",
      "There was an error with the formula: \"LiMnCuO4,74\", please check the formatting\n",
      "There was an error with the formula: \"InFe2CuSe4,121\", please check the formatting\n",
      "There was an error with the formula: \"Li3CrCo3O8,166\", please check the formatting\n",
      "There was an error with the formula: \"Li3Co(NiO2)4,12\", please check the formatting\n",
      "There was an error with the formula: \"Li2Nb2(PO4)3,15\", please check the formatting\n",
      "There was an error with the formula: \"YB2Rh2C,139\", please check the formatting\n",
      "There was an error with the formula: \"Ba3NaIr2O9,194\", please check the formatting\n",
      "There was an error with the formula: \"Ce3MnAlS7,173\", please check the formatting\n",
      "There was an error with the formula: \"Li3Ti3(PO4)4,4\", please check the formatting\n",
      "There was an error with the formula: \"VNi5(PO4)6,146\", please check the formatting\n",
      "The element: Eu from formula EuFe2Si2 is not currently supported in our database\n",
      "There was an error with the formula: \"Cs2NaMnF6,166\", please check the formatting\n",
      "The element: Eu from formula EuAl2Au2 is not currently supported in our database\n",
      "There was an error with the formula: \"Li2Fe2(PO4)3,15\", please check the formatting\n",
      "There was an error with the formula: \"TiCr3(PO4)6,146\", please check the formatting\n",
      "There was an error with the formula: \"Cs2NaCoF6,166\", please check the formatting\n",
      "There was an error with the formula: \"Li2MnCu3O8,212\", please check the formatting\n",
      "There was an error with the formula: \"Ca3Cu2(ClO2)2,139\", please check the formatting\n",
      "There was an error with the formula: \"LiCuPO4,63\", please check the formatting\n",
      "There was an error with the formula: \"Zr6Al2CoH10,190\", please check the formatting\n",
      "There was an error with the formula: \"Te2Mo(WS2)3,156\", please check the formatting\n",
      "There was an error with the formula: \"ZnCu3P3O13,11\", please check the formatting\n",
      "The element: Eu from formula EuP2Os2 is not currently supported in our database\n",
      "There was an error with the formula: \"Cu2H3ClO3,166\", please check the formatting\n",
      "There was an error with the formula: \"NdAl4Ge2Au,166\", please check the formatting\n",
      "There was an error with the formula: \"Li3Ni3(PO4)4,4\", please check the formatting\n",
      "The element: Eu from formula EuAs2Pd2 is not currently supported in our database\n",
      "There was an error with the formula: \"Zn3Cu10(TeO6)6,1\", please check the formatting\n",
      "The element: Pm from formula PmMgCd2 is not currently supported in our database\n",
      "The element: Eu from formula EuLi2Sn is not currently supported in our database\n",
      "There was an error with the formula: \"Sr2GaCo2O7,46\", please check the formatting\n",
      "There was an error with the formula: \"Li4Cr3NiO8,2\", please check the formatting\n",
      "There was an error with the formula: \"Ce4FeSe6O,186\", please check the formatting\n",
      "There was an error with the formula: \"SrLaMn2O6,121\", please check the formatting\n",
      "There was an error with the formula: \"Ce6B2(CBr)3,10\", please check the formatting\n",
      "The element: Pm from formula PmSbRh2 is not currently supported in our database\n",
      "There was an error with the formula: \"LuNiBC,129\", please check the formatting\n",
      "There was an error with the formula: \"Li2U(MoO5)2,2\", please check the formatting\n",
      "There was an error with the formula: \"Ba3ErRu2O9,194\", please check the formatting\n",
      "There was an error with the formula: \"Cu4W(SCl)4,139\", please check the formatting\n",
      "There was an error with the formula: \"Sr2CoReO6,14\", please check the formatting\n",
      "There was an error with the formula: \"LiCo7O7F,156\", please check the formatting\n",
      "There was an error with the formula: \"BaDy2CuO5,62\", please check the formatting\n",
      "There was an error with the formula: \"Li5Mn2Cu5O12,5\", please check the formatting\n",
      "There was an error with the formula: \"Fe4Si2Sn7O16,164\", please check the formatting\n",
      "There was an error with the formula: \"Ba2YReO6,225\", please check the formatting\n",
      "There was an error with the formula: \"Fe2Cu(PO4)3,167\", please check the formatting\n",
      "There was an error with the formula: \"Ca2NiIrO6,14\", please check the formatting\n",
      "There was an error with the formula: \"Li2MnCo3O8,5\", please check the formatting\n",
      "There was an error with the formula: \"Li4Cu(PO4)2,1\", please check the formatting\n",
      "There was an error with the formula: \"Tb3Rb2AlF16,194\", please check the formatting\n",
      "There was an error with the formula: \"Rb2NaNiF6,225\", please check the formatting\n",
      "There was an error with the formula: \"NdCu3(RuO3)4,204\", please check the formatting\n",
      "There was an error with the formula: \"Sr3Li4La5O12,6\", please check the formatting\n",
      "The element: Eu from formula EuSnAu2 is not currently supported in our database\n",
      "There was an error with the formula: \"LiMgSnPd,216\", please check the formatting\n",
      "The element: Pm from formula PmMgAu2 is not currently supported in our database\n",
      "There was an error with the formula: \"Li3Mn2(CoO4)2,1\", please check the formatting\n",
      "There was an error with the formula: \"Li6Fe3Co7O20,10\", please check the formatting\n",
      "There was an error with the formula: \"Ba7Ru4Br2O15,166\", please check the formatting\n",
      "The element: Eu from formula EuRbO2 is not currently supported in our database\n",
      "There was an error with the formula: \"Sr2YReO6,225\", please check the formatting\n",
      "There was an error with the formula: \"EuCuSeF,129\", please check the formatting\n",
      "There was an error with the formula: \"YbBa2(CuO2)4,65\", please check the formatting\n",
      "The element: Eu from formula EuKS2 is not currently supported in our database\n",
      "The element: Pm from formula PmHgAu2 is not currently supported in our database\n",
      "There was an error with the formula: \"Li3Mn(NiO3)2,12\", please check the formatting\n",
      "There was an error with the formula: \"Li2TiMn3O8,166\", please check the formatting\n",
      "There was an error with the formula: \"Li2CrCuO4,74\", please check the formatting\n",
      "There was an error with the formula: \"Li2Ni5(PO4)4,2\", please check the formatting\n",
      "There was an error with the formula: \"LiCo(CO3)2,12\", please check the formatting\n",
      "There was an error with the formula: \"Li3Fe2SbO6,12\", please check the formatting\n",
      "There was an error with the formula: \"Sr2MgIrO6,225\", please check the formatting\n",
      "There was an error with the formula: \"Li3Mn3NiO8,12\", please check the formatting\n",
      "There was an error with the formula: \"Cu9Se4(Cl3O7)2,12\", please check the formatting\n",
      "There was an error with the formula: \"Ba2SmCu3O7,47\", please check the formatting\n",
      "There was an error with the formula: \"Li3Cr3(CuO6)2,14\", please check the formatting\n",
      "There was an error with the formula: \"Li6Fe9CoO20,6\", please check the formatting\n",
      "There was an error with the formula: \"Sr3Co2S2O5,139\", please check the formatting\n",
      "There was an error with the formula: \"Li3V4NiO12,5\", please check the formatting\n",
      "There was an error with the formula: \"Li9Fe3(WO4)7,160\", please check the formatting\n",
      "The element: Eu from formula EuNaO2 is not currently supported in our database\n",
      "The element: Eu from formula EuCo8P5 is not currently supported in our database\n",
      "There was an error with the formula: \"CsUCuS3,63\", please check the formatting\n",
      "There was an error with the formula: \"Mg2TiIrO6,14\", please check the formatting\n",
      "There was an error with the formula: \"Ba2CaReO6,87\", please check the formatting\n",
      "There was an error with the formula: \"RbUAgS3,63\", please check the formatting\n",
      "There was an error with the formula: \"Li8TiNi7O16,1\", please check the formatting\n",
      "The element: Eu from formula EuCd11 is not currently supported in our database\n",
      "There was an error with the formula: \"Li3Fe(CoO2)4,2\", please check the formatting\n",
      "There was an error with the formula: \"Ba2DyCu3O7,47\", please check the formatting\n",
      "There was an error with the formula: \"ThMn4(CuO4)3,204\", please check the formatting\n",
      "There was an error with the formula: \"Li5Co2Ni3O10,10\", please check the formatting\n",
      "There was an error with the formula: \"Na3Mn2(GeO4)3,230\", please check the formatting\n",
      "The element: Pm from formula YbPmPt2 is not currently supported in our database\n",
      "There was an error with the formula: \"Mn2Cu(PO4)3,167\", please check the formatting\n",
      "The element: Eu from formula EuAgSb is not currently supported in our database\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There was an error with the formula: \"Te2W2SeS,156\", please check the formatting\n",
      "There was an error with the formula: \"Li6Mn5CoO12,2\", please check the formatting\n",
      "There was an error with the formula: \"Ba14Na8CaN6,176\", please check the formatting\n",
      "The element: Eu from formula EuCd2Sb2 is not currently supported in our database\n",
      "There was an error with the formula: \"Li5La3Nb14O42,12\", please check the formatting\n",
      "There was an error with the formula: \"CeCoGeH,129\", please check the formatting\n",
      "There was an error with the formula: \"LiNi2(PO4)3,15\", please check the formatting\n",
      "The element: Pm from formula PmMgRh2 is not currently supported in our database\n",
      "There was an error with the formula: \"KTa3CuO9,53\", please check the formatting\n",
      "The element: Eu from formula EuGe3Pt is not currently supported in our database\n",
      "There was an error with the formula: \"Li2Co4O7F,8\", please check the formatting\n",
      "There was an error with the formula: \"Li4Mn5NbO12,12\", please check the formatting\n",
      "There was an error with the formula: \"Lu2Fe2Si2C,12\", please check the formatting\n",
      "There was an error with the formula: \"CsVP2S7,5\", please check the formatting\n",
      "There was an error with the formula: \"Rb2SCl6F,225\", please check the formatting\n",
      "There was an error with the formula: \"Sr5Cd2Sb5F,63\", please check the formatting\n",
      "There was an error with the formula: \"Li4Fe7(OF7)2,1\", please check the formatting\n",
      "There was an error with the formula: \"Ce2Cu(NO)2,139\", please check the formatting\n",
      "There was an error with the formula: \"KUCuSe3,63\", please check the formatting\n",
      "The element: Pm from formula PmLi2Al is not currently supported in our database\n",
      "There was an error with the formula: \"Li3Cr(NiO2)4,12\", please check the formatting\n",
      "There was an error with the formula: \"Rb2Na2IrO4,14\", please check the formatting\n",
      "The element: Pm from formula PmLi2Ge is not currently supported in our database\n",
      "There was an error with the formula: \"Sr3ScNiO6,167\", please check the formatting\n",
      "The element: Eu from formula EuClO is not currently supported in our database\n",
      "The element: Eu from formula Eu2TeO2 is not currently supported in our database\n",
      "There was an error with the formula: \"LiCu5P3O13,2\", please check the formatting\n",
      "There was an error with the formula: \"Li4Mn5Nb3O16,1\", please check the formatting\n",
      "There was an error with the formula: \"LiMn(PO4)2,14\", please check the formatting\n",
      "The element: Eu from formula EuScO3 is not currently supported in our database\n",
      "There was an error with the formula: \"Li4MgNi3O8,166\", please check the formatting\n",
      "There was an error with the formula: \"Ba3YIr2O9,194\", please check the formatting\n",
      "There was an error with the formula: \"DyB2Rh2C,139\", please check the formatting\n",
      "There was an error with the formula: \"MnSb3(PO4)6,146\", please check the formatting\n",
      "There was an error with the formula: \"Li5Fe6(BO3)6,8\", please check the formatting\n",
      "There was an error with the formula: \"Li4Fe2Cu3O10,2\", please check the formatting\n",
      "There was an error with the formula: \"Li6FeNi9O20,2\", please check the formatting\n",
      "There was an error with the formula: \"Li2Ti3FeO8,166\", please check the formatting\n",
      "There was an error with the formula: \"Ce3B2(ClO2)3,176\", please check the formatting\n",
      "There was an error with the formula: \"KLi(WO3)3,9\", please check the formatting\n",
      "There was an error with the formula: \"Li3Co3SbO8,2\", please check the formatting\n",
      "There was an error with the formula: \"Li4V5Cu3O16,8\", please check the formatting\n",
      "The element: Eu from formula EuZn2Si2 is not currently supported in our database\n",
      "There was an error with the formula: \"ThFe2SiC,63\", please check the formatting\n",
      "There was an error with the formula: \"Ba3CaIr2O9,164\", please check the formatting\n",
      "There was an error with the formula: \"Li2Ni3TeO8,186\", please check the formatting\n",
      "There was an error with the formula: \"ErAl9(Fe2Si3)2,137\", please check the formatting\n",
      "There was an error with the formula: \"Ti5Zn4(TeO6)3,15\", please check the formatting\n",
      "The element: Pm from formula Pm2CuGe is not currently supported in our database\n",
      "There was an error with the formula: \"LiCuPO4,15\", please check the formatting\n",
      "The element: Pm from formula Pm2LiIr is not currently supported in our database\n",
      "There was an error with the formula: \"BaZn(MoO2)4,162\", please check the formatting\n",
      "There was an error with the formula: \"LiCu2(CO3)2,1\", please check the formatting\n",
      "There was an error with the formula: \"Li3Ti2(PO4)3,12\", please check the formatting\n",
      "There was an error with the formula: \"Li2FeWO6,146\", please check the formatting\n",
      "There was an error with the formula: \"Li2Fe3CoO8,4\", please check the formatting\n",
      "There was an error with the formula: \"Li4Ni3BiO8,166\", please check the formatting\n",
      "There was an error with the formula: \"Li5Mn6(BO3)6,8\", please check the formatting\n",
      "There was an error with the formula: \"YTi4(CuO4)3,204\", please check the formatting\n",
      "There was an error with the formula: \"Eu2Ge(BO4)2,60\", please check the formatting\n",
      "There was an error with the formula: \"KH(CN2)3,2\", please check the formatting\n",
      "There was an error with the formula: \"Ba2CaOsO6,225\", please check the formatting\n",
      "There was an error with the formula: \"Cu2PHO5,58\", please check the formatting\n",
      "There was an error with the formula: \"Te4MoW3S4,156\", please check the formatting\n",
      "The element: Eu from formula EuIn2As2 is not currently supported in our database\n",
      "There was an error with the formula: \"LuU2S3O2,139\", please check the formatting\n",
      "There was an error with the formula: \"Li4NbNi3O8,166\", please check the formatting\n",
      "There was an error with the formula: \"Ca2MnAlO5,46\", please check the formatting\n",
      "There was an error with the formula: \"Li7Ca8Nb12O40,1\", please check the formatting\n",
      "There was an error with the formula: \"Li4Mn5Ni3O16,8\", please check the formatting\n",
      "There was an error with the formula: \"BaTl(MoO3)2,8\", please check the formatting\n",
      "There was an error with the formula: \"Li4Mn(WO4)3,1\", please check the formatting\n",
      "The element: Eu from formula EuCl3O12 is not currently supported in our database\n",
      "There was an error with the formula: \"Li3Co4TeO8,12\", please check the formatting\n",
      "There was an error with the formula: \"Li3Mn2(PO4)3,12\", please check the formatting\n",
      "There was an error with the formula: \"RbVP2S7,5\", please check the formatting\n",
      "There was an error with the formula: \"Sr10Al4Si6O,71\", please check the formatting\n",
      "There was an error with the formula: \"Li4Mn5Cu3O16,8\", please check the formatting\n",
      "The element: Eu from formula EuBi3 is not currently supported in our database\n",
      "There was an error with the formula: \"Li4Co5SbO12,12\", please check the formatting\n",
      "There was an error with the formula: \"Li3Mn4(PO4)6,2\", please check the formatting\n",
      "There was an error with the formula: \"Cs2SCl6F,225\", please check the formatting\n",
      "There was an error with the formula: \"Ce3NbS3O4,55\", please check the formatting\n",
      "There was an error with the formula: \"EuSeClO3,62\", please check the formatting\n",
      "The element: Eu from formula EuNiGe3 is not currently supported in our database\n",
      "The element: Eu from formula Eu2PBr is not currently supported in our database\n",
      "There was an error with the formula: \"Li4Ni2(PO4)3,2\", please check the formatting\n",
      "There was an error with the formula: \"LiFe2(PO4)3,1\", please check the formatting\n",
      "There was an error with the formula: \"Li6FeO5F,1\", please check the formatting\n",
      "There was an error with the formula: \"P2H4RhO9,5\", please check the formatting\n",
      "There was an error with the formula: \"Mn3Cr3(CoO8)2,8\", please check the formatting\n",
      "The element: Pm from formula Pm2NiRh is not currently supported in our database\n",
      "There was an error with the formula: \"Sr2YBi2O7,46\", please check the formatting\n",
      "There was an error with the formula: \"Li4Co3CuO8,166\", please check the formatting\n",
      "There was an error with the formula: \"Li4Ti5Cr3O16,8\", please check the formatting\n",
      "There was an error with the formula: \"LiMnCoO4,74\", please check the formatting\n",
      "There was an error with the formula: \"Er3Al3NiGe2,189\", please check the formatting\n",
      "There was an error with the formula: \"EuTiClO3,12\", please check the formatting\n",
      "There was an error with the formula: \"Dy7In(CoGe3)4,83\", please check the formatting\n",
      "There was an error with the formula: \"Eu2C(NO)2,164\", please check the formatting\n",
      "There was an error with the formula: \"Tm4In(NiGe2)2,12\", please check the formatting\n",
      "The element: Eu from formula EuAlO3 is not currently supported in our database\n",
      "There was an error with the formula: \"Sr2HoRuO6,14\", please check the formatting\n",
      "The element: Eu from formula EuRhO3 is not currently supported in our database\n",
      "There was an error with the formula: \"Li3Co2(GeO4)3,230\", please check the formatting\n",
      "There was an error with the formula: \"CuPO4F,2\", please check the formatting\n",
      "There was an error with the formula: \"Eu3BWO9,173\", please check the formatting\n",
      "There was an error with the formula: \"RbB5(H2O3)4,41\", please check the formatting\n",
      "There was an error with the formula: \"Li4Mn3Cr3O12,22\", please check the formatting\n",
      "There was an error with the formula: \"TbBaMn2O6,51\", please check the formatting\n",
      "There was an error with the formula: \"Cu2Hg2SF6,227\", please check the formatting\n",
      "There was an error with the formula: \"Te4Mo(WS)2,187\", please check the formatting\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There was an error with the formula: \"Li2V3CrO8,166\", please check the formatting\n",
      "There was an error with the formula: \"Ba2BiSbO6,2\", please check the formatting\n",
      "There was an error with the formula: \"Cu4H10SO12,7\", please check the formatting\n",
      "The element: Pm from formula PmGaAu2 is not currently supported in our database\n",
      "There was an error with the formula: \"Li4Co2Ni3O10,10\", please check the formatting\n",
      "There was an error with the formula: \"TmU2S3O2,139\", please check the formatting\n",
      "There was an error with the formula: \"CrH9(CN2)3,2\", please check the formatting\n",
      "There was an error with the formula: \"Ca2CuWO6,14\", please check the formatting\n",
      "There was an error with the formula: \"Ba2CoWO6,225\", please check the formatting\n",
      "There was an error with the formula: \"HoSiRu2C,63\", please check the formatting\n",
      "There was an error with the formula: \"Li4TiCr3O8,166\", please check the formatting\n",
      "There was an error with the formula: \"Ba2CuWO6,87\", please check the formatting\n",
      "There was an error with the formula: \"MnFeCoGe,216\", please check the formatting\n",
      "There was an error with the formula: \"LiMn2(PO4)2,29\", please check the formatting\n",
      "There was an error with the formula: \"Li5Cr2Ni5O12,5\", please check the formatting\n",
      "There was an error with the formula: \"Ba4Sm2Cu2O9,118\", please check the formatting\n",
      "There was an error with the formula: \"LiSn(PO3)4,134\", please check the formatting\n",
      "There was an error with the formula: \"Ba14Pd3Ir8O33,5\", please check the formatting\n",
      "The element: Eu from formula EuSn3 is not currently supported in our database\n",
      "The element: Eu from formula EuF3 is not currently supported in our database\n",
      "The element: Eu from formula EuTiO3 is not currently supported in our database\n",
      "There was an error with the formula: \"Cs2NaMgF6,225\", please check the formatting\n",
      "There was an error with the formula: \"Li3FeNi3O8,186\", please check the formatting\n",
      "There was an error with the formula: \"U2Cu2As3O,129\", please check the formatting\n",
      "The element: Eu from formula Eu3Sn is not currently supported in our database\n",
      "There was an error with the formula: \"Li3Mn(CuO3)2,12\", please check the formatting\n",
      "There was an error with the formula: \"Li2V3FeO8,8\", please check the formatting\n",
      "There was an error with the formula: \"Li2MnNi3O8,166\", please check the formatting\n",
      "There was an error with the formula: \"In3Bi7(Pb2S9)2,11\", please check the formatting\n",
      "The element: Eu from formula EuCaO2 is not currently supported in our database\n",
      "There was an error with the formula: \"Li3Fe(SbO3)4,1\", please check the formatting\n",
      "There was an error with the formula: \"CeZnPO,166\", please check the formatting\n"
     ]
    }
   ],
   "source": [
    "X, y, formula = composition.generate_features(df_band_gap)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Eu2C(NO)2', '164']\n",
      "Eu2C(NO)2\n"
     ]
    }
   ],
   "source": [
    "bad_formula = \"Eu2C(NO)2,164\"\n",
    "print(bad_formula.split(','))\n",
    "print(bad_formula.split(',')[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "df_band_gap['formula'] = [formula.split(',')[0] for formula in df_band_gap['formula']]\n",
    "\n",
    "## There is another issue I notice. There is no element symbol 'G' ....\n",
    "#The element: G from formula GaAs0.1P0.9G1128 is not currently supported in our database\n",
    "df_band_gap.replace(\"GaAs0.1P0.9G1128\", \"GaAs0.1P0.9\", inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The element: Eu from formula EuYb2Se4 is not currently supported in our database\n",
      "The element: Eu from formula Ba3EuP3O12 is not currently supported in our database\n",
      "The element: Eu from formula EuSb4S7 is not currently supported in our database\n",
      "The element: Eu from formula Na0.75Eu1.625GeSe4 is not currently supported in our database\n",
      "The element: Eu from formula EuBiW2O9 is not currently supported in our database\n",
      "The element: Eu from formula Sr3EuP3O12 is not currently supported in our database\n",
      "The element: Eu from formula Eu3Sb4S9 is not currently supported in our database\n",
      "The element: Eu from formula EuHo2Se4 is not currently supported in our database\n",
      "The element: Eu from formula Na2EuGeSe4 is not currently supported in our database\n",
      "The element: Eu from formula EuLiH3 is not currently supported in our database\n",
      "The element: Eu from formula Eu2Se3 is not currently supported in our database\n",
      "The element: Eu from formula EuO is not currently supported in our database\n",
      "The element: Eu from formula EuBi2Te4 is not currently supported in our database\n",
      "The element: Eu from formula EuSe is not currently supported in our database\n",
      "The element: Eu from formula EuYb2S4 is not currently supported in our database\n",
      "The element: Eu from formula EuBi2Se4 is not currently supported in our database\n",
      "The element: Eu from formula Eu3S4 is not currently supported in our database\n",
      "The element: Eu from formula Eu2O3 is not currently supported in our database\n",
      "The element: Eu from formula Eu7Ga6Sb8 is not currently supported in our database\n",
      "The element: Eu from formula EuN is not currently supported in our database\n",
      "The element: Eu from formula EuTb2Se4 is not currently supported in our database\n",
      "The element: Eu from formula EuTe is not currently supported in our database\n",
      "The element: Eu from formula EuIn2Se4 is not currently supported in our database\n",
      "The element: Eu from formula EuS is not currently supported in our database\n",
      "The element: Eu from formula EuO is not currently supported in our database\n",
      "The element: Eu from formula Eu3As2 is not currently supported in our database\n",
      "The element: Eu from formula EuIn2Te4 is not currently supported in our database\n",
      "The element: Eu from formula EuO is not currently supported in our database\n",
      "The element: Eu from formula Eu3Sb4Se9 is not currently supported in our database\n",
      "The element: Eu from formula Eu3Se4 is not currently supported in our database\n",
      "The element: Eu from formula EuSb2Se4 is not currently supported in our database\n",
      "The element: Eu from formula EuGa2S4 is not currently supported in our database\n",
      "The element: Eu from formula EuTe is not currently supported in our database\n",
      "The element: Eu from formula Eu3In2P4 is not currently supported in our database\n",
      "The element: Eu from formula KEuAsS4 is not currently supported in our database\n",
      "The element: Eu from formula EuSb4Te7 is not currently supported in our database\n",
      "The element: Eu from formula EuS is not currently supported in our database\n",
      "The element: Eu from formula Na8Eu2Ge4S12 is not currently supported in our database\n",
      "The element: Eu from formula Eu4Te7 is not currently supported in our database\n",
      "The element: Eu from formula EuVO4 is not currently supported in our database\n",
      "The element: Eu from formula EuLu2Se4 is not currently supported in our database\n",
      "The element: Eu from formula EuSb2S4 is not currently supported in our database\n",
      "The element: Eu from formula EuVO4 is not currently supported in our database\n",
      "The element: Eu from formula EuGa2Te4 is not currently supported in our database\n",
      "The element: Eu from formula Eu3Bi4S9 is not currently supported in our database\n",
      "The element: Eu from formula Eu1.83Ta15O32 is not currently supported in our database\n",
      "The element: Eu from formula EuSnTe2 is not currently supported in our database\n",
      "The element: Eu from formula EuSb2BO8 is not currently supported in our database\n",
      "The element: Eu from formula EuEr2Se4 is not currently supported in our database\n",
      "The element: Eu from formula EuGa2Se4 is not currently supported in our database\n",
      "The element: Eu from formula EuS is not currently supported in our database\n",
      "The element: Eu from formula EuTe is not currently supported in our database\n",
      "The element: Eu from formula EuH2 is not currently supported in our database\n",
      "The element: Eu from formula EuDy2Se4 is not currently supported in our database\n",
      "The element: Eu from formula Ag0.5Eu1.75GeS4 is not currently supported in our database\n",
      "The element: Eu from formula EuIr4In2Ge4 is not currently supported in our database\n",
      "The element: Eu from formula EuIn2S4 is not currently supported in our database\n",
      "The element: Eu from formula Eu3P2 is not currently supported in our database\n",
      "The element: Eu from formula EuAl2O4 is not currently supported in our database\n",
      "The element: Eu from formula Eu2SnSe5 is not currently supported in our database\n",
      "The element: Eu from formula Eu2Ga2GeS7 is not currently supported in our database\n",
      "The element: Eu from formula EuTm2Se4 is not currently supported in our database\n",
      "The element: Eu from formula EuCu2SnS4 is not currently supported in our database\n",
      "The element: Eu from formula EuZn is not currently supported in our database\n",
      "The element: Eu from formula EuCsF3 is not currently supported in our database\n",
      "The element: Eu from formula Eu2Ga9Rh3 is not currently supported in our database\n",
      "The element: Pm from formula PmSnRh2 is not currently supported in our database\n",
      "The element: Eu from formula EuMg2Bi2 is not currently supported in our database\n",
      "The element: Pm from formula Pm2PtAu is not currently supported in our database\n",
      "The element: Pm from formula Pm2LiGa is not currently supported in our database\n",
      "The element: Eu from formula EuPPt is not currently supported in our database\n",
      "The element: Pm from formula PmCdPd2 is not currently supported in our database\n",
      "The element: Eu from formula EuSbO3 is not currently supported in our database\n",
      "The element: Eu from formula Eu2BaMn2O7 is not currently supported in our database\n",
      "The element: Eu from formula EuCu9Sn4 is not currently supported in our database\n",
      "The element: Eu from formula EuPd is not currently supported in our database\n",
      "The element: Pm from formula Pm2LiAl is not currently supported in our database\n",
      "The element: Eu from formula EuSnO3 is not currently supported in our database\n",
      "The element: Eu from formula EuMn2Ge2 is not currently supported in our database\n",
      "The element: Eu from formula EuNi12B6 is not currently supported in our database\n",
      "The element: Eu from formula EuZn2Ge2 is not currently supported in our database\n",
      "The element: Xe from formula Sb2XeF14 is not currently supported in our database\n",
      "The element: Eu from formula Eu2CaO3 is not currently supported in our database\n",
      "The element: Pm from formula Pm3I is not currently supported in our database\n",
      "The element: Pm from formula Pm2IrRh is not currently supported in our database\n",
      "The element: Eu from formula EuCuSeO is not currently supported in our database\n",
      "The element: Pm from formula Pm2LiSi is not currently supported in our database\n",
      "The element: Eu from formula Eu2ReO5 is not currently supported in our database\n",
      "The element: Pm from formula PmDy3 is not currently supported in our database\n",
      "The element: Pm from formula PmCd3 is not currently supported in our database\n",
      "The element: Eu from formula EuTl is not currently supported in our database\n",
      "The element: Eu from formula Eu2CuO4 is not currently supported in our database\n",
      "The element: Eu from formula EuNi2As2 is not currently supported in our database\n",
      "The element: Eu from formula EuFe2Si2 is not currently supported in our database\n",
      "The element: Eu from formula EuAl2Au2 is not currently supported in our database\n",
      "The element: Eu from formula EuP2Os2 is not currently supported in our database\n",
      "The element: Eu from formula EuAs2Pd2 is not currently supported in our database\n",
      "The element: Pm from formula PmMgCd2 is not currently supported in our database\n",
      "The element: Eu from formula EuLi2Sn is not currently supported in our database\n",
      "The element: Pm from formula PmSbRh2 is not currently supported in our database\n",
      "The element: Eu from formula EuSnAu2 is not currently supported in our database\n",
      "The element: Pm from formula PmMgAu2 is not currently supported in our database\n",
      "The element: Eu from formula EuRbO2 is not currently supported in our database\n",
      "The element: Eu from formula EuCuSeF is not currently supported in our database\n",
      "The element: Eu from formula EuKS2 is not currently supported in our database\n",
      "The element: Pm from formula PmHgAu2 is not currently supported in our database\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The element: Eu from formula EuNaO2 is not currently supported in our database\n",
      "The element: Eu from formula EuCo8P5 is not currently supported in our database\n",
      "The element: Eu from formula EuCd11 is not currently supported in our database\n",
      "The element: Pm from formula YbPmPt2 is not currently supported in our database\n",
      "The element: Eu from formula EuAgSb is not currently supported in our database\n",
      "The element: Eu from formula EuCd2Sb2 is not currently supported in our database\n",
      "The element: Pm from formula PmMgRh2 is not currently supported in our database\n",
      "The element: Eu from formula EuGe3Pt is not currently supported in our database\n",
      "The element: Pm from formula PmLi2Al is not currently supported in our database\n",
      "The element: Pm from formula PmLi2Ge is not currently supported in our database\n",
      "The element: Eu from formula EuClO is not currently supported in our database\n",
      "The element: Eu from formula Eu2TeO2 is not currently supported in our database\n",
      "The element: Eu from formula EuScO3 is not currently supported in our database\n",
      "The element: Eu from formula EuZn2Si2 is not currently supported in our database\n",
      "The element: Pm from formula Pm2CuGe is not currently supported in our database\n",
      "The element: Pm from formula Pm2LiIr is not currently supported in our database\n",
      "The element: Eu from formula Eu2Ge(BO4)2 is not currently supported in our database\n",
      "The element: Eu from formula EuIn2As2 is not currently supported in our database\n",
      "The element: Eu from formula EuCl3O12 is not currently supported in our database\n",
      "The element: Eu from formula EuBi3 is not currently supported in our database\n",
      "The element: Eu from formula EuSeClO3 is not currently supported in our database\n",
      "The element: Eu from formula EuNiGe3 is not currently supported in our database\n",
      "The element: Eu from formula Eu2PBr is not currently supported in our database\n",
      "The element: Pm from formula Pm2NiRh is not currently supported in our database\n",
      "The element: Eu from formula EuTiClO3 is not currently supported in our database\n",
      "The element: Eu from formula Eu2C(NO)2 is not currently supported in our database\n",
      "The element: Eu from formula EuAlO3 is not currently supported in our database\n",
      "The element: Eu from formula EuRhO3 is not currently supported in our database\n",
      "The element: Eu from formula Eu3BWO9 is not currently supported in our database\n",
      "The element: Pm from formula PmGaAu2 is not currently supported in our database\n",
      "The element: Eu from formula EuSn3 is not currently supported in our database\n",
      "The element: Eu from formula EuF3 is not currently supported in our database\n",
      "The element: Eu from formula EuTiO3 is not currently supported in our database\n",
      "The element: Eu from formula Eu3Sn is not currently supported in our database\n",
      "The element: Eu from formula EuCaO2 is not currently supported in our database\n"
     ]
    }
   ],
   "source": [
    "X, y, formula = composition.generate_features(df_band_gap)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sum_C-0</th>\n",
       "      <th>sum_C-1</th>\n",
       "      <th>sum_C-10</th>\n",
       "      <th>sum_C-11</th>\n",
       "      <th>sum_C-12</th>\n",
       "      <th>sum_C-13</th>\n",
       "      <th>sum_C-14</th>\n",
       "      <th>sum_C-15</th>\n",
       "      <th>sum_C-16</th>\n",
       "      <th>sum_C-17</th>\n",
       "      <th>...</th>\n",
       "      <th>range_voro_coord_subs_atom_mass</th>\n",
       "      <th>range_voro_coord_subs_atom_rad</th>\n",
       "      <th>range_voro_coord_subs_bp</th>\n",
       "      <th>range_voro_coord_subs_elec_aff</th>\n",
       "      <th>range_voro_coord_subs_first_ion_en</th>\n",
       "      <th>range_voro_coord_subs_hfus</th>\n",
       "      <th>range_voro_coord_subs_mol_vol</th>\n",
       "      <th>range_voro_coord_subs_mp</th>\n",
       "      <th>range_voro_coord_subs_polzbl</th>\n",
       "      <th>range_voro_coord_subs_therm_cond</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>298</th>\n",
       "      <td>14.250000</td>\n",
       "      <td>3.750000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.650000</td>\n",
       "      <td>1.950000</td>\n",
       "      <td>23.6500</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>46.436670</td>\n",
       "      <td>4.05</td>\n",
       "      <td>498.6</td>\n",
       "      <td>7.483</td>\n",
       "      <td>11.274132</td>\n",
       "      <td>5.05570</td>\n",
       "      <td>25.04</td>\n",
       "      <td>79.39</td>\n",
       "      <td>37.245</td>\n",
       "      <td>52.55100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3085</th>\n",
       "      <td>94.928571</td>\n",
       "      <td>50.028571</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>0.0</td>\n",
       "      <td>43.671429</td>\n",
       "      <td>43.814286</td>\n",
       "      <td>99.5000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.357143</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>27.942100</td>\n",
       "      <td>6.25</td>\n",
       "      <td>3582.8</td>\n",
       "      <td>7.904</td>\n",
       "      <td>13.871860</td>\n",
       "      <td>6.78720</td>\n",
       "      <td>16.04</td>\n",
       "      <td>2121.20</td>\n",
       "      <td>4.598</td>\n",
       "      <td>23.97342</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>54.387500</td>\n",
       "      <td>22.550000</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>26.475000</td>\n",
       "      <td>21.562500</td>\n",
       "      <td>91.8625</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>158.992807</td>\n",
       "      <td>7.65</td>\n",
       "      <td>2572.0</td>\n",
       "      <td>7.772</td>\n",
       "      <td>12.019347</td>\n",
       "      <td>7.89171</td>\n",
       "      <td>37.73</td>\n",
       "      <td>1013.03</td>\n",
       "      <td>39.430</td>\n",
       "      <td>312.76400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3908</th>\n",
       "      <td>190.890000</td>\n",
       "      <td>89.050000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>97.630000</td>\n",
       "      <td>85.840000</td>\n",
       "      <td>159.1500</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>140.516238</td>\n",
       "      <td>6.60</td>\n",
       "      <td>4319.0</td>\n",
       "      <td>7.720</td>\n",
       "      <td>10.661620</td>\n",
       "      <td>7.01800</td>\n",
       "      <td>15.46</td>\n",
       "      <td>2181.70</td>\n",
       "      <td>11.400</td>\n",
       "      <td>64.76400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1578</th>\n",
       "      <td>116.750000</td>\n",
       "      <td>15.300000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>33.700000</td>\n",
       "      <td>14.050000</td>\n",
       "      <td>50.6500</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>78.844238</td>\n",
       "      <td>4.45</td>\n",
       "      <td>1790.0</td>\n",
       "      <td>5.431</td>\n",
       "      <td>9.700330</td>\n",
       "      <td>5.15249</td>\n",
       "      <td>6.26</td>\n",
       "      <td>107.45</td>\n",
       "      <td>1.020</td>\n",
       "      <td>76.76400</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 1752 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         sum_C-0    sum_C-1  sum_C-10  sum_C-11   sum_C-12   sum_C-13  \\\n",
       "298    14.250000   3.750000  0.000000       0.0  13.650000   1.950000   \n",
       "3085   94.928571  50.028571  0.571429       0.0  43.671429  43.814286   \n",
       "26     54.387500  22.550000  1.500000       0.0  26.475000  21.562500   \n",
       "3908  190.890000  89.050000  0.000000       0.0  97.630000  85.840000   \n",
       "1578  116.750000  15.300000  0.000000       0.0  33.700000  14.050000   \n",
       "\n",
       "      sum_C-14  sum_C-15  sum_C-16  sum_C-17  \\\n",
       "298    23.6500       0.0  0.000000       0.0   \n",
       "3085   99.5000       0.0  0.357143       0.0   \n",
       "26     91.8625       0.0  0.000000       0.0   \n",
       "3908  159.1500       0.0  0.000000       0.0   \n",
       "1578   50.6500       0.0  0.000000       0.0   \n",
       "\n",
       "                    ...                 range_voro_coord_subs_atom_mass  \\\n",
       "298                 ...                                       46.436670   \n",
       "3085                ...                                       27.942100   \n",
       "26                  ...                                      158.992807   \n",
       "3908                ...                                      140.516238   \n",
       "1578                ...                                       78.844238   \n",
       "\n",
       "      range_voro_coord_subs_atom_rad  range_voro_coord_subs_bp  \\\n",
       "298                             4.05                     498.6   \n",
       "3085                            6.25                    3582.8   \n",
       "26                              7.65                    2572.0   \n",
       "3908                            6.60                    4319.0   \n",
       "1578                            4.45                    1790.0   \n",
       "\n",
       "      range_voro_coord_subs_elec_aff  range_voro_coord_subs_first_ion_en  \\\n",
       "298                            7.483                           11.274132   \n",
       "3085                           7.904                           13.871860   \n",
       "26                             7.772                           12.019347   \n",
       "3908                           7.720                           10.661620   \n",
       "1578                           5.431                            9.700330   \n",
       "\n",
       "      range_voro_coord_subs_hfus  range_voro_coord_subs_mol_vol  \\\n",
       "298                      5.05570                          25.04   \n",
       "3085                     6.78720                          16.04   \n",
       "26                       7.89171                          37.73   \n",
       "3908                     7.01800                          15.46   \n",
       "1578                     5.15249                           6.26   \n",
       "\n",
       "      range_voro_coord_subs_mp  range_voro_coord_subs_polzbl  \\\n",
       "298                      79.39                        37.245   \n",
       "3085                   2121.20                         4.598   \n",
       "26                     1013.03                        39.430   \n",
       "3908                   2181.70                        11.400   \n",
       "1578                    107.45                         1.020   \n",
       "\n",
       "      range_voro_coord_subs_therm_cond  \n",
       "298                           52.55100  \n",
       "3085                          23.97342  \n",
       "26                           312.76400  \n",
       "3908                          64.76400  \n",
       "1578                          76.76400  \n",
       "\n",
       "[5 rows x 1752 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.25, random_state=42)\n",
    "X_train.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## We can now apply machine learning algorithms to the formated data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "R2 score = 0.6588499535738338\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x26243608f60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Initialize a \"LinearRegression\" object. This will allow us to do a simple linear regression on the data\n",
    "lr = LinearRegression()\n",
    "# Call the fit function to perform the ML step\n",
    "lr.fit(X_train, y_train)\n",
    "y_pred = lr.predict(X_test)\n",
    "print('R2 score =', lr.score(X_test, y_test))\n",
    "utils.plot_act_vs_pred(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x26243608828>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "title = \"linear regresion learning curve\"\n",
    "utils.plot_learning_curve(lr, title, X_train, y_train, ylim=(0.1, 1.01), cv=5, n_jobs=-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "R2 score = 0.7814473410498851\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2621be35278>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Initialize a 'RandomForestRegressor\" object.\n",
    "rf = RandomForestRegressor()\n",
    "# Call the fit function to perform the ML step\n",
    "rf.fit(X_train, y_train)\n",
    "y_pred = rf.predict(X_test)\n",
    "print('R2 score =', rf.score(X_test, y_test))\n",
    "utils.plot_act_vs_pred(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2621dff7eb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "title = \"random forest learning curve\"\n",
    "utils.plot_learning_curve(rf, title, X_train, y_train, ylim=(0.1, 1.01), cv=5, n_jobs=-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}