results.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>model_name</th>\n",
       "      <th>dataset_name</th>\n",
       "      <th>model_params</th>\n",
       "      <th>train_size</th>\n",
       "      <th>test_size</th>\n",
       "      <th>random_state_seed</th>\n",
       "      <th>dimensions_used</th>\n",
       "      <th>accuracy</th>\n",
       "      <th>f1_avg</th>\n",
       "      <th>recall_avg</th>\n",
       "      <th>precision_avg</th>\n",
       "      <th>f1_score</th>\n",
       "      <th>recall_score</th>\n",
       "      <th>precision_score</th>\n",
       "      <th>confusion_matrix</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Rocket_XGBoost</td>\n",
       "      <td>PhonemeSpectra</td>\n",
       "      <td>{}</td>\n",
       "      <td>4667</td>\n",
       "      <td>2001</td>\n",
       "      <td>0</td>\n",
       "      <td>[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]</td>\n",
       "      <td>0.263368</td>\n",
       "      <td>0.261349</td>\n",
       "      <td>0.264461</td>\n",
       "      <td>0.266538</td>\n",
       "      <td>[0.17543859650000002, 0.3008849558, 0.10638297...</td>\n",
       "      <td>[0.1818181818, 0.298245614, 0.0909090909, 0.22...</td>\n",
       "      <td>[0.1694915254, 0.3035714286, 0.128205128200000...</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Rocket_XGBoost</td>\n",
       "      <td>TiSeLac</td>\n",
       "      <td>{}</td>\n",
       "      <td>81714</td>\n",
       "      <td>17973</td>\n",
       "      <td>0</td>\n",
       "      <td>[7, 8]</td>\n",
       "      <td>0.798754</td>\n",
       "      <td>0.716707</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0.7932274151, 0.5562015504, 0.7951419011, 0.8...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Rocket_XGBoost</td>\n",
       "      <td>TiSeLac</td>\n",
       "      <td>{}</td>\n",
       "      <td>81714</td>\n",
       "      <td>17973</td>\n",
       "      <td>0</td>\n",
       "      <td>[7, 8, 9]</td>\n",
       "      <td>0.824459</td>\n",
       "      <td>0.752281</td>\n",
       "      <td>0.717401</td>\n",
       "      <td>0.816938</td>\n",
       "      <td>[0.8197484863000001, 0.5565388397000001, 0.808...</td>\n",
       "      <td>[0.88, 0.4374034003, 0.8175, 0.843143025300000...</td>\n",
       "      <td>[0.7672188317, 0.7648648649, 0.8004895961, 0.8...</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Rocket_XGBoost</td>\n",
       "      <td>TiSeLac</td>\n",
       "      <td>{}</td>\n",
       "      <td>81714</td>\n",
       "      <td>17973</td>\n",
       "      <td>0</td>\n",
       "      <td>[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]</td>\n",
       "      <td>0.866077</td>\n",
       "      <td>0.808554</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0.8669785294000001, 0.6208213945000001, 0.858...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Rocket_XGBoost</td>\n",
       "      <td>FaceDetection</td>\n",
       "      <td>{}</td>\n",
       "      <td>5890</td>\n",
       "      <td>3524</td>\n",
       "      <td>0</td>\n",
       "      <td>[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
       "      <td>0.605846</td>\n",
       "      <td>0.605787</td>\n",
       "      <td>0.605846</td>\n",
       "      <td>0.605909</td>\n",
       "      <td>[0.6009767308, 0.6105971405]</td>\n",
       "      <td>[0.5936435868000001, 0.6180476731]</td>\n",
       "      <td>[0.6084933101000001, 0.6033240997]</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Rocket_XGBoost</td>\n",
       "      <td>FingerMovements</td>\n",
       "      <td>{}</td>\n",
       "      <td>291</td>\n",
       "      <td>125</td>\n",
       "      <td>0</td>\n",
       "      <td>[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
       "      <td>0.544000</td>\n",
       "      <td>0.543533</td>\n",
       "      <td>0.544519</td>\n",
       "      <td>0.544291</td>\n",
       "      <td>[0.5581395349, 0.5289256198]</td>\n",
       "      <td>[0.5373134328, 0.5517241379]</td>\n",
       "      <td>[0.5806451613, 0.5079365079]</td>\n",
       "      <td>[[36, 31], [26, 32]]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Rocket_XGBoost</td>\n",
       "      <td>FingerMovements</td>\n",
       "      <td>{}</td>\n",
       "      <td>291</td>\n",
       "      <td>125</td>\n",
       "      <td>0</td>\n",
       "      <td>[19, 24, 22, 21, 23, 27, 17, 20, 26, 25]</td>\n",
       "      <td>0.528000</td>\n",
       "      <td>0.527516</td>\n",
       "      <td>0.528435</td>\n",
       "      <td>0.528290</td>\n",
       "      <td>[0.5426356589, 0.5123966942]</td>\n",
       "      <td>[0.5223880597, 0.5344827586]</td>\n",
       "      <td>[0.564516129, 0.4920634921]</td>\n",
       "      <td>[[35, 32], [27, 31]]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Rocket_XGBoost</td>\n",
       "      <td>ArticularyWordRecognition</td>\n",
       "      <td>{}</td>\n",
       "      <td>402</td>\n",
       "      <td>173</td>\n",
       "      <td>0</td>\n",
       "      <td>[0, 1, 2, 3, 4, 5, 6, 7, 8]</td>\n",
       "      <td>0.942197</td>\n",
       "      <td>0.934952</td>\n",
       "      <td>0.937349</td>\n",
       "      <td>0.943825</td>\n",
       "      <td>[1.0, 0.8888888889000001, 1.0, 0.75, 0.9411764...</td>\n",
       "      <td>[1.0, 0.8888888889000001, 1.0, 0.6000000000000...</td>\n",
       "      <td>[1.0, 0.8888888889000001, 1.0, 1.0, 1.0, 0.875...</td>\n",
       "      <td>[[6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Rocket_XGBoost</td>\n",
       "      <td>ArticularyWordRecognition</td>\n",
       "      <td>{}</td>\n",
       "      <td>402</td>\n",
       "      <td>173</td>\n",
       "      <td>0</td>\n",
       "      <td>[5]</td>\n",
       "      <td>0.855491</td>\n",
       "      <td>0.864961</td>\n",
       "      <td>0.884271</td>\n",
       "      <td>0.864424</td>\n",
       "      <td>[0.7692307692, 0.7777777778, 1.0, 0.8, 0.8, 0....</td>\n",
       "      <td>[0.8333333333, 0.7777777778, 1.0, 0.8, 0.88888...</td>\n",
       "      <td>[0.7142857143, 0.7777777778, 1.0, 0.8, 0.72727...</td>\n",
       "      <td>[[5, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Rocket_XGBoost</td>\n",
       "      <td>ArticularyWordRecognition</td>\n",
       "      <td>{}</td>\n",
       "      <td>402</td>\n",
       "      <td>173</td>\n",
       "      <td>0</td>\n",
       "      <td>[5, 7]</td>\n",
       "      <td>0.820809</td>\n",
       "      <td>0.834019</td>\n",
       "      <td>0.843695</td>\n",
       "      <td>0.842348</td>\n",
       "      <td>[0.9090909091, 0.5882352941, 1.0, 0.8333333333...</td>\n",
       "      <td>[0.8333333333, 0.5555555556, 1.0, 1.0, 0.66666...</td>\n",
       "      <td>[1.0, 0.625, 1.0, 0.7142857143, 0.75, 1.0, 1.0...</td>\n",
       "      <td>[[5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Rocket_XGBoost</td>\n",
       "      <td>ArticularyWordRecognition</td>\n",
       "      <td>{}</td>\n",
       "      <td>402</td>\n",
       "      <td>173</td>\n",
       "      <td>0</td>\n",
       "      <td>[5, 7, 4]</td>\n",
       "      <td>0.919075</td>\n",
       "      <td>0.924352</td>\n",
       "      <td>0.937896</td>\n",
       "      <td>0.921429</td>\n",
       "      <td>[0.7692307692, 0.7058823529, 1.0, 0.9090909091...</td>\n",
       "      <td>[0.8333333333, 0.6666666667000001, 1.0, 1.0, 0...</td>\n",
       "      <td>[0.7142857143, 0.75, 1.0, 0.8333333333, 1.0, 1...</td>\n",
       "      <td>[[5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Rocket_XGBoost</td>\n",
       "      <td>NATOPS</td>\n",
       "      <td>{}</td>\n",
       "      <td>252</td>\n",
       "      <td>108</td>\n",
       "      <td>0</td>\n",
       "      <td>[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
       "      <td>0.861111</td>\n",
       "      <td>0.878791</td>\n",
       "      <td>0.881844</td>\n",
       "      <td>0.878472</td>\n",
       "      <td>[0.9565217391, 0.6818181818, 0.666666666700000...</td>\n",
       "      <td>[0.9166666667000001, 0.652173913, 0.7222222222...</td>\n",
       "      <td>[1.0, 0.7142857143, 0.619047619, 1.0, 1.0, 0.9...</td>\n",
       "      <td>[[22, 1, 0, 0, 0, 1], [0, 15, 8, 0, 0, 0], [0,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Rocket_XGBoost</td>\n",
       "      <td>NATOPS</td>\n",
       "      <td>{}</td>\n",
       "      <td>252</td>\n",
       "      <td>108</td>\n",
       "      <td>0</td>\n",
       "      <td>[10]</td>\n",
       "      <td>0.490741</td>\n",
       "      <td>0.521634</td>\n",
       "      <td>0.525262</td>\n",
       "      <td>0.519862</td>\n",
       "      <td>[0.45833333330000003, 0.3111111111, 0.27027027...</td>\n",
       "      <td>[0.45833333330000003, 0.3043478261, 0.27777777...</td>\n",
       "      <td>[0.45833333330000003, 0.3181818182, 0.26315789...</td>\n",
       "      <td>[[11, 8, 4, 0, 0, 1], [5, 7, 9, 1, 0, 1], [8, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Rocket_XGBoost</td>\n",
       "      <td>NATOPS</td>\n",
       "      <td>{}</td>\n",
       "      <td>252</td>\n",
       "      <td>108</td>\n",
       "      <td>0</td>\n",
       "      <td>[8, 10, 21, 22]</td>\n",
       "      <td>0.833333</td>\n",
       "      <td>0.843271</td>\n",
       "      <td>0.856703</td>\n",
       "      <td>0.845663</td>\n",
       "      <td>[0.9333333333, 0.65, 0.6976744186, 0.909090909...</td>\n",
       "      <td>[0.875, 0.5652173913, 0.8333333333, 1.0, 1.0, ...</td>\n",
       "      <td>[1.0, 0.7647058824, 0.6000000000000001, 0.8333...</td>\n",
       "      <td>[[21, 1, 0, 1, 0, 1], [0, 13, 10, 0, 0, 0], [0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Rocket_XGBoost</td>\n",
       "      <td>NATOPS</td>\n",
       "      <td>{}</td>\n",
       "      <td>252</td>\n",
       "      <td>108</td>\n",
       "      <td>0</td>\n",
       "      <td>[8, 10, 11, 12, 16, 17, 21, 22]</td>\n",
       "      <td>0.842593</td>\n",
       "      <td>0.854711</td>\n",
       "      <td>0.867512</td>\n",
       "      <td>0.856632</td>\n",
       "      <td>[0.9565217391, 0.6153846154, 0.6976744186, 0.9...</td>\n",
       "      <td>[0.9166666667000001, 0.5217391304, 0.833333333...</td>\n",
       "      <td>[1.0, 0.75, 0.6000000000000001, 0.9090909091, ...</td>\n",
       "      <td>[[22, 1, 0, 0, 0, 1], [0, 12, 10, 1, 0, 0], [0...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        model_name               dataset_name model_params  train_size  \\\n",
       "0   Rocket_XGBoost             PhonemeSpectra           {}        4667   \n",
       "1   Rocket_XGBoost                    TiSeLac           {}       81714   \n",
       "2   Rocket_XGBoost                    TiSeLac           {}       81714   \n",
       "3   Rocket_XGBoost                    TiSeLac           {}       81714   \n",
       "4   Rocket_XGBoost              FaceDetection           {}        5890   \n",
       "5   Rocket_XGBoost            FingerMovements           {}         291   \n",
       "6   Rocket_XGBoost            FingerMovements           {}         291   \n",
       "7   Rocket_XGBoost  ArticularyWordRecognition           {}         402   \n",
       "8   Rocket_XGBoost  ArticularyWordRecognition           {}         402   \n",
       "9   Rocket_XGBoost  ArticularyWordRecognition           {}         402   \n",
       "10  Rocket_XGBoost  ArticularyWordRecognition           {}         402   \n",
       "11  Rocket_XGBoost                     NATOPS           {}         252   \n",
       "12  Rocket_XGBoost                     NATOPS           {}         252   \n",
       "13  Rocket_XGBoost                     NATOPS           {}         252   \n",
       "14  Rocket_XGBoost                     NATOPS           {}         252   \n",
       "\n",
       "    test_size  random_state_seed  \\\n",
       "0        2001                  0   \n",
       "1       17973                  0   \n",
       "2       17973                  0   \n",
       "3       17973                  0   \n",
       "4        3524                  0   \n",
       "5         125                  0   \n",
       "6         125                  0   \n",
       "7         173                  0   \n",
       "8         173                  0   \n",
       "9         173                  0   \n",
       "10        173                  0   \n",
       "11        108                  0   \n",
       "12        108                  0   \n",
       "13        108                  0   \n",
       "14        108                  0   \n",
       "\n",
       "                                      dimensions_used  accuracy    f1_avg  \\\n",
       "0                  [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]  0.263368  0.261349   \n",
       "1                                              [7, 8]  0.798754  0.716707   \n",
       "2                                           [7, 8, 9]  0.824459  0.752281   \n",
       "3                      [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]  0.866077  0.808554   \n",
       "4   [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...  0.605846  0.605787   \n",
       "5   [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...  0.544000  0.543533   \n",
       "6            [19, 24, 22, 21, 23, 27, 17, 20, 26, 25]  0.528000  0.527516   \n",
       "7                         [0, 1, 2, 3, 4, 5, 6, 7, 8]  0.942197  0.934952   \n",
       "8                                                 [5]  0.855491  0.864961   \n",
       "9                                              [5, 7]  0.820809  0.834019   \n",
       "10                                          [5, 7, 4]  0.919075  0.924352   \n",
       "11  [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...  0.861111  0.878791   \n",
       "12                                               [10]  0.490741  0.521634   \n",
       "13                                    [8, 10, 21, 22]  0.833333  0.843271   \n",
       "14                    [8, 10, 11, 12, 16, 17, 21, 22]  0.842593  0.854711   \n",
       "\n",
       "    recall_avg  precision_avg  \\\n",
       "0     0.264461       0.266538   \n",
       "1          NaN            NaN   \n",
       "2     0.717401       0.816938   \n",
       "3          NaN            NaN   \n",
       "4     0.605846       0.605909   \n",
       "5     0.544519       0.544291   \n",
       "6     0.528435       0.528290   \n",
       "7     0.937349       0.943825   \n",
       "8     0.884271       0.864424   \n",
       "9     0.843695       0.842348   \n",
       "10    0.937896       0.921429   \n",
       "11    0.881844       0.878472   \n",
       "12    0.525262       0.519862   \n",
       "13    0.856703       0.845663   \n",
       "14    0.867512       0.856632   \n",
       "\n",
       "                                             f1_score  \\\n",
       "0   [0.17543859650000002, 0.3008849558, 0.10638297...   \n",
       "1   [0.7932274151, 0.5562015504, 0.7951419011, 0.8...   \n",
       "2   [0.8197484863000001, 0.5565388397000001, 0.808...   \n",
       "3   [0.8669785294000001, 0.6208213945000001, 0.858...   \n",
       "4                        [0.6009767308, 0.6105971405]   \n",
       "5                        [0.5581395349, 0.5289256198]   \n",
       "6                        [0.5426356589, 0.5123966942]   \n",
       "7   [1.0, 0.8888888889000001, 1.0, 0.75, 0.9411764...   \n",
       "8   [0.7692307692, 0.7777777778, 1.0, 0.8, 0.8, 0....   \n",
       "9   [0.9090909091, 0.5882352941, 1.0, 0.8333333333...   \n",
       "10  [0.7692307692, 0.7058823529, 1.0, 0.9090909091...   \n",
       "11  [0.9565217391, 0.6818181818, 0.666666666700000...   \n",
       "12  [0.45833333330000003, 0.3111111111, 0.27027027...   \n",
       "13  [0.9333333333, 0.65, 0.6976744186, 0.909090909...   \n",
       "14  [0.9565217391, 0.6153846154, 0.6976744186, 0.9...   \n",
       "\n",
       "                                         recall_score  \\\n",
       "0   [0.1818181818, 0.298245614, 0.0909090909, 0.22...   \n",
       "1                                                None   \n",
       "2   [0.88, 0.4374034003, 0.8175, 0.843143025300000...   \n",
       "3                                                None   \n",
       "4                  [0.5936435868000001, 0.6180476731]   \n",
       "5                        [0.5373134328, 0.5517241379]   \n",
       "6                        [0.5223880597, 0.5344827586]   \n",
       "7   [1.0, 0.8888888889000001, 1.0, 0.6000000000000...   \n",
       "8   [0.8333333333, 0.7777777778, 1.0, 0.8, 0.88888...   \n",
       "9   [0.8333333333, 0.5555555556, 1.0, 1.0, 0.66666...   \n",
       "10  [0.8333333333, 0.6666666667000001, 1.0, 1.0, 0...   \n",
       "11  [0.9166666667000001, 0.652173913, 0.7222222222...   \n",
       "12  [0.45833333330000003, 0.3043478261, 0.27777777...   \n",
       "13  [0.875, 0.5652173913, 0.8333333333, 1.0, 1.0, ...   \n",
       "14  [0.9166666667000001, 0.5217391304, 0.833333333...   \n",
       "\n",
       "                                      precision_score  \\\n",
       "0   [0.1694915254, 0.3035714286, 0.128205128200000...   \n",
       "1                                                None   \n",
       "2   [0.7672188317, 0.7648648649, 0.8004895961, 0.8...   \n",
       "3                                                None   \n",
       "4                  [0.6084933101000001, 0.6033240997]   \n",
       "5                        [0.5806451613, 0.5079365079]   \n",
       "6                         [0.564516129, 0.4920634921]   \n",
       "7   [1.0, 0.8888888889000001, 1.0, 1.0, 1.0, 0.875...   \n",
       "8   [0.7142857143, 0.7777777778, 1.0, 0.8, 0.72727...   \n",
       "9   [1.0, 0.625, 1.0, 0.7142857143, 0.75, 1.0, 1.0...   \n",
       "10  [0.7142857143, 0.75, 1.0, 0.8333333333, 1.0, 1...   \n",
       "11  [1.0, 0.7142857143, 0.619047619, 1.0, 1.0, 0.9...   \n",
       "12  [0.45833333330000003, 0.3181818182, 0.26315789...   \n",
       "13  [1.0, 0.7647058824, 0.6000000000000001, 0.8333...   \n",
       "14  [1.0, 0.75, 0.6000000000000001, 0.9090909091, ...   \n",
       "\n",
       "                                     confusion_matrix  \n",
       "0                                                None  \n",
       "1                                                None  \n",
       "2                                                None  \n",
       "3                                                None  \n",
       "4                                                None  \n",
       "5                                [[36, 31], [26, 32]]  \n",
       "6                                [[35, 32], [27, 31]]  \n",
       "7   [[6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...  \n",
       "8   [[5, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0,...  \n",
       "9   [[5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0,...  \n",
       "10  [[5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...  \n",
       "11  [[22, 1, 0, 0, 0, 1], [0, 15, 8, 0, 0, 0], [0,...  \n",
       "12  [[11, 8, 4, 0, 0, 1], [5, 7, 9, 1, 0, 1], [8, ...  \n",
       "13  [[21, 1, 0, 1, 0, 1], [0, 13, 10, 0, 0, 0], [0...  \n",
       "14  [[22, 1, 0, 0, 0, 1], [0, 12, 10, 1, 0, 0], [0...  "
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_json(\"results/results.json\")\n",
    "\n",
    "df"
   ]
  }
 ],
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