generate_metabase.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import re\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "results_filenames = os.listdir(os.path.join('data', 'results'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['results_SmallSqueezeNet.csv',\n",
       " 'results_ResNet10.csv',\n",
       " 'results_MiniGoogLeNet1.csv',\n",
       " 'results_AlexNet1.csv',\n",
       " 'results_MiniVGG3.csv',\n",
       " 'results_MiniVGG1.csv']"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results_filenames"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "results_dfs = {}\n",
    "\n",
    "for filename in results_filenames:\n",
    "    archtecture = re.search(r'(?<=results_).*(?=.csv)', filename).group()\n",
    "    results_dfs[archtecture] = pd.read_csv(os.path.join('data', 'results', filename))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['SmallSqueezeNet', 'ResNet10', 'MiniGoogLeNet1', 'AlexNet1', 'MiniVGG3', 'MiniVGG1'])"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results_dfs.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Architecture</th>\n",
       "      <th>Classes</th>\n",
       "      <th>Accuracy_vector</th>\n",
       "      <th>Precision_vector</th>\n",
       "      <th>Recall_vector</th>\n",
       "      <th>F1_vector</th>\n",
       "      <th>Accuracy_avg</th>\n",
       "      <th>Precision_Avg</th>\n",
       "      <th>Recall_Avg</th>\n",
       "      <th>F1_avg</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SmallSqueezeNet</td>\n",
       "      <td>airplane-automobile</td>\n",
       "      <td>[0.9635, 0.963, 0.9655, 0.9425, 0.914, 0.9245,...</td>\n",
       "      <td>[0.9442448071216618, 0.9445904572564613, 0.946...</td>\n",
       "      <td>[0.969, 0.966, 0.972, 0.977, 0.841, 0.936, 0.5...</td>\n",
       "      <td>[0.9636996519144705, 0.963110667996012, 0.9657...</td>\n",
       "      <td>0.87925</td>\n",
       "      <td>0.858420</td>\n",
       "      <td>0.8080</td>\n",
       "      <td>0.824166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SmallSqueezeNet</td>\n",
       "      <td>airplane-bird</td>\n",
       "      <td>[0.9105, 0.9145, 0.894, 0.892, 0.876, 0.895, 0...</td>\n",
       "      <td>[0.8696502439024391, 0.8785463609172484, 0.871...</td>\n",
       "      <td>[0.923, 0.916, 0.838, 0.941, 0.956, 0.933, 0.7...</td>\n",
       "      <td>[0.911604938271605, 0.9146280579131304, 0.8877...</td>\n",
       "      <td>0.89055</td>\n",
       "      <td>0.850013</td>\n",
       "      <td>0.8882</td>\n",
       "      <td>0.889767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>SmallSqueezeNet</td>\n",
       "      <td>airplane-cat</td>\n",
       "      <td>[0.9375, 0.95, 0.9115, 0.944, 0.9215, 0.922, 0...</td>\n",
       "      <td>[0.9065873405299314, 0.9266932270916335, 0.901...</td>\n",
       "      <td>[0.947, 0.952, 0.844, 0.948, 0.984, 0.877, 0.9...</td>\n",
       "      <td>[0.9380881624566618, 0.9500998003992016, 0.905...</td>\n",
       "      <td>0.90460</td>\n",
       "      <td>0.872486</td>\n",
       "      <td>0.8927</td>\n",
       "      <td>0.900057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>SmallSqueezeNet</td>\n",
       "      <td>airplane-deer</td>\n",
       "      <td>[0.9495, 0.9545, 0.8425, 0.945, 0.9035, 0.938,...</td>\n",
       "      <td>[0.927408224674022, 0.9332023928215354, 0.8410...</td>\n",
       "      <td>[0.948, 0.956, 0.688, 0.93, 0.981, 0.945, 0.92...</td>\n",
       "      <td>[0.9494241362043063, 0.9545681477783324, 0.813...</td>\n",
       "      <td>0.91945</td>\n",
       "      <td>0.897320</td>\n",
       "      <td>0.8919</td>\n",
       "      <td>0.915180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>SmallSqueezeNet</td>\n",
       "      <td>airplane-dog</td>\n",
       "      <td>[0.9525, 0.963, 0.9275, 0.9535, 0.917, 0.96, 0...</td>\n",
       "      <td>[0.9337031408308004, 0.9458689999999998, 0.875...</td>\n",
       "      <td>[0.946, 0.963, 0.991, 0.96, 0.994, 0.966, 0.94...</td>\n",
       "      <td>[0.9521892299949672, 0.963, 0.9318288669487541...</td>\n",
       "      <td>0.94280</td>\n",
       "      <td>0.911598</td>\n",
       "      <td>0.9620</td>\n",
       "      <td>0.944186</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Architecture              Classes  \\\n",
       "0  SmallSqueezeNet  airplane-automobile   \n",
       "1  SmallSqueezeNet        airplane-bird   \n",
       "2  SmallSqueezeNet         airplane-cat   \n",
       "3  SmallSqueezeNet        airplane-deer   \n",
       "4  SmallSqueezeNet         airplane-dog   \n",
       "\n",
       "                                     Accuracy_vector  \\\n",
       "0  [0.9635, 0.963, 0.9655, 0.9425, 0.914, 0.9245,...   \n",
       "1  [0.9105, 0.9145, 0.894, 0.892, 0.876, 0.895, 0...   \n",
       "2  [0.9375, 0.95, 0.9115, 0.944, 0.9215, 0.922, 0...   \n",
       "3  [0.9495, 0.9545, 0.8425, 0.945, 0.9035, 0.938,...   \n",
       "4  [0.9525, 0.963, 0.9275, 0.9535, 0.917, 0.96, 0...   \n",
       "\n",
       "                                    Precision_vector  \\\n",
       "0  [0.9442448071216618, 0.9445904572564613, 0.946...   \n",
       "1  [0.8696502439024391, 0.8785463609172484, 0.871...   \n",
       "2  [0.9065873405299314, 0.9266932270916335, 0.901...   \n",
       "3  [0.927408224674022, 0.9332023928215354, 0.8410...   \n",
       "4  [0.9337031408308004, 0.9458689999999998, 0.875...   \n",
       "\n",
       "                                       Recall_vector  \\\n",
       "0  [0.969, 0.966, 0.972, 0.977, 0.841, 0.936, 0.5...   \n",
       "1  [0.923, 0.916, 0.838, 0.941, 0.956, 0.933, 0.7...   \n",
       "2  [0.947, 0.952, 0.844, 0.948, 0.984, 0.877, 0.9...   \n",
       "3  [0.948, 0.956, 0.688, 0.93, 0.981, 0.945, 0.92...   \n",
       "4  [0.946, 0.963, 0.991, 0.96, 0.994, 0.966, 0.94...   \n",
       "\n",
       "                                           F1_vector  Accuracy_avg  \\\n",
       "0  [0.9636996519144705, 0.963110667996012, 0.9657...       0.87925   \n",
       "1  [0.911604938271605, 0.9146280579131304, 0.8877...       0.89055   \n",
       "2  [0.9380881624566618, 0.9500998003992016, 0.905...       0.90460   \n",
       "3  [0.9494241362043063, 0.9545681477783324, 0.813...       0.91945   \n",
       "4  [0.9521892299949672, 0.963, 0.9318288669487541...       0.94280   \n",
       "\n",
       "   Precision_Avg  Recall_Avg    F1_avg  \n",
       "0       0.858420      0.8080  0.824166  \n",
       "1       0.850013      0.8882  0.889767  \n",
       "2       0.872486      0.8927  0.900057  \n",
       "3       0.897320      0.8919  0.915180  \n",
       "4       0.911598      0.9620  0.944186  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results_dfs['SmallSqueezeNet'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>Architecture</th>\n",
       "      <th>Classes</th>\n",
       "      <th>Accuracy_vector</th>\n",
       "      <th>Precision_vector</th>\n",
       "      <th>Recall_vector</th>\n",
       "      <th>F1_vector</th>\n",
       "      <th>Accuracy_avg</th>\n",
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       "      <th>Recall_Avg</th>\n",
       "      <th>F1_avg</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ResNet10</td>\n",
       "      <td>airplane-automobile</td>\n",
       "      <td>[0.942, 0.939, 0.93, 0.9275, 0.916, 0.9315, 0....</td>\n",
       "      <td>[0.9203510204081633, 0.9051657032755298, 0.893...</td>\n",
       "      <td>[0.932, 0.958, 0.948, 0.939, 0.954, 0.938, 0.8...</td>\n",
       "      <td>[0.9414141414141414, 0.9401373895976447, 0.931...</td>\n",
       "      <td>0.92505</td>\n",
       "      <td>0.892683</td>\n",
       "      <td>0.9274</td>\n",
       "      <td>0.925149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ResNet10</td>\n",
       "      <td>airplane-bird</td>\n",
       "      <td>[0.89, 0.889, 0.8935, 0.882, 0.875, 0.8895, 0....</td>\n",
       "      <td>[0.8614113785557986, 0.8492249488752557, 0.852...</td>\n",
       "      <td>[0.847, 0.878, 0.89, 0.886, 0.888, 0.89, 0.887...</td>\n",
       "      <td>[0.8850574712643677, 0.8877654196157735, 0.893...</td>\n",
       "      <td>0.88480</td>\n",
       "      <td>0.843588</td>\n",
       "      <td>0.8753</td>\n",
       "      <td>0.883662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ResNet10</td>\n",
       "      <td>airplane-cat</td>\n",
       "      <td>[0.9245, 0.9325, 0.935, 0.926, 0.932, 0.925, 0...</td>\n",
       "      <td>[0.8897871921182265, 0.8980344995140912, 0.905...</td>\n",
       "      <td>[0.932, 0.947, 0.937, 0.938, 0.961, 0.909, 0.8...</td>\n",
       "      <td>[0.9250620347394541, 0.933464760965993, 0.9351...</td>\n",
       "      <td>0.92580</td>\n",
       "      <td>0.893557</td>\n",
       "      <td>0.9279</td>\n",
       "      <td>0.925876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ResNet10</td>\n",
       "      <td>airplane-deer</td>\n",
       "      <td>[0.9475, 0.9125, 0.943, 0.93, 0.917, 0.936, 0....</td>\n",
       "      <td>[0.9234072781655036, 0.8553790534618757, 0.921...</td>\n",
       "      <td>[0.949, 0.983, 0.933, 0.98, 0.935, 0.928, 0.95...</td>\n",
       "      <td>[0.947578632051922, 0.9182624941616068, 0.9424...</td>\n",
       "      <td>0.93320</td>\n",
       "      <td>0.900529</td>\n",
       "      <td>0.9460</td>\n",
       "      <td>0.934192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ResNet10</td>\n",
       "      <td>airplane-dog</td>\n",
       "      <td>[0.948, 0.9515, 0.936, 0.947, 0.9345, 0.9475, ...</td>\n",
       "      <td>[0.924704, 0.9361238390092881, 0.9224043010752...</td>\n",
       "      <td>[0.948, 0.936, 0.901, 0.95, 0.914, 0.93, 0.955...</td>\n",
       "      <td>[0.948, 0.9507364144235654, 0.9336787564766839...</td>\n",
       "      <td>0.94470</td>\n",
       "      <td>0.923633</td>\n",
       "      <td>0.9363</td>\n",
       "      <td>0.944177</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "  Architecture              Classes  \\\n",
       "0     ResNet10  airplane-automobile   \n",
       "1     ResNet10        airplane-bird   \n",
       "2     ResNet10         airplane-cat   \n",
       "3     ResNet10        airplane-deer   \n",
       "4     ResNet10         airplane-dog   \n",
       "\n",
       "                                     Accuracy_vector  \\\n",
       "0  [0.942, 0.939, 0.93, 0.9275, 0.916, 0.9315, 0....   \n",
       "1  [0.89, 0.889, 0.8935, 0.882, 0.875, 0.8895, 0....   \n",
       "2  [0.9245, 0.9325, 0.935, 0.926, 0.932, 0.925, 0...   \n",
       "3  [0.9475, 0.9125, 0.943, 0.93, 0.917, 0.936, 0....   \n",
       "4  [0.948, 0.9515, 0.936, 0.947, 0.9345, 0.9475, ...   \n",
       "\n",
       "                                    Precision_vector  \\\n",
       "0  [0.9203510204081633, 0.9051657032755298, 0.893...   \n",
       "1  [0.8614113785557986, 0.8492249488752557, 0.852...   \n",
       "2  [0.8897871921182265, 0.8980344995140912, 0.905...   \n",
       "3  [0.9234072781655036, 0.8553790534618757, 0.921...   \n",
       "4  [0.924704, 0.9361238390092881, 0.9224043010752...   \n",
       "\n",
       "                                       Recall_vector  \\\n",
       "0  [0.932, 0.958, 0.948, 0.939, 0.954, 0.938, 0.8...   \n",
       "1  [0.847, 0.878, 0.89, 0.886, 0.888, 0.89, 0.887...   \n",
       "2  [0.932, 0.947, 0.937, 0.938, 0.961, 0.909, 0.8...   \n",
       "3  [0.949, 0.983, 0.933, 0.98, 0.935, 0.928, 0.95...   \n",
       "4  [0.948, 0.936, 0.901, 0.95, 0.914, 0.93, 0.955...   \n",
       "\n",
       "                                           F1_vector  Accuracy_avg  \\\n",
       "0  [0.9414141414141414, 0.9401373895976447, 0.931...       0.92505   \n",
       "1  [0.8850574712643677, 0.8877654196157735, 0.893...       0.88480   \n",
       "2  [0.9250620347394541, 0.933464760965993, 0.9351...       0.92580   \n",
       "3  [0.947578632051922, 0.9182624941616068, 0.9424...       0.93320   \n",
       "4  [0.948, 0.9507364144235654, 0.9336787564766839...       0.94470   \n",
       "\n",
       "   Precision_Avg  Recall_Avg    F1_avg  \n",
       "0       0.892683      0.9274  0.925149  \n",
       "1       0.843588      0.8753  0.883662  \n",
       "2       0.893557      0.9279  0.925876  \n",
       "3       0.900529      0.9460  0.934192  \n",
       "4       0.923633      0.9363  0.944177  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results_dfs['ResNet10'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "results_df = pd.concat(results_dfs.values(), ignore_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Architecture</th>\n",
       "      <th>Classes</th>\n",
       "      <th>Accuracy_vector</th>\n",
       "      <th>Precision_vector</th>\n",
       "      <th>Recall_vector</th>\n",
       "      <th>F1_vector</th>\n",
       "      <th>Accuracy_avg</th>\n",
       "      <th>Precision_Avg</th>\n",
       "      <th>Recall_Avg</th>\n",
       "      <th>F1_avg</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>MiniVGG1</td>\n",
       "      <td>frog-ship</td>\n",
       "      <td>[0.96999999999999997, 0.97850000000000004, 0.9...</td>\n",
       "      <td>[0.96850951374207184, 0.97553715170278643, 0.9...</td>\n",
       "      <td>[0.94299999999999995, 0.96299999999999997, 0.9...</td>\n",
       "      <td>[0.96916752312435761, 0.97816150330116813, 0.9...</td>\n",
       "      <td>0.97565</td>\n",
       "      <td>0.972557</td>\n",
       "      <td>0.9576</td>\n",
       "      <td>0.975153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>MiniVGG1</td>\n",
       "      <td>frog-truck</td>\n",
       "      <td>[0.96499999999999997, 0.95599999999999996, 0.9...</td>\n",
       "      <td>[0.96400428265524618, 0.95599999999999996, 0.9...</td>\n",
       "      <td>[0.93200000000000005, 0.91200000000000003, 0.9...</td>\n",
       "      <td>[0.96380558428128238, 0.95397489539748959, 0.9...</td>\n",
       "      <td>0.96545</td>\n",
       "      <td>0.964704</td>\n",
       "      <td>0.9324</td>\n",
       "      <td>0.964165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>MiniVGG1</td>\n",
       "      <td>horse-ship</td>\n",
       "      <td>[0.97899999999999998, 0.96999999999999997, 0.9...</td>\n",
       "      <td>[0.97172773279352231, 0.94822393822393825, 0.9...</td>\n",
       "      <td>[0.97299999999999998, 0.98799999999999999, 0.9...</td>\n",
       "      <td>[0.97887323943661964, 0.97053045186640474, 0.9...</td>\n",
       "      <td>0.97085</td>\n",
       "      <td>0.957640</td>\n",
       "      <td>0.9706</td>\n",
       "      <td>0.970888</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>268</th>\n",
       "      <td>MiniVGG1</td>\n",
       "      <td>horse-truck</td>\n",
       "      <td>[0.96899999999999997, 0.96750000000000003, 0.9...</td>\n",
       "      <td>[0.95894999999999997, 0.96165015641293006, 0.9...</td>\n",
       "      <td>[0.95899999999999996, 0.94699999999999995, 0.9...</td>\n",
       "      <td>[0.9686868686868686, 0.96681980602348128, 0.97...</td>\n",
       "      <td>0.96660</td>\n",
       "      <td>0.955483</td>\n",
       "      <td>0.9570</td>\n",
       "      <td>0.966246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>269</th>\n",
       "      <td>MiniVGG1</td>\n",
       "      <td>ship-truck</td>\n",
       "      <td>[0.94650000000000001, 0.9415, 0.94899999999999...</td>\n",
       "      <td>[0.93070291363163371, 0.92789373007438902, 0.9...</td>\n",
       "      <td>[0.92700000000000005, 0.91200000000000003, 0.9...</td>\n",
       "      <td>[0.94543600203977562, 0.9397217928902627, 0.94...</td>\n",
       "      <td>0.94545</td>\n",
       "      <td>0.929194</td>\n",
       "      <td>0.9263</td>\n",
       "      <td>0.944339</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Architecture      Classes  \\\n",
       "265     MiniVGG1    frog-ship   \n",
       "266     MiniVGG1   frog-truck   \n",
       "267     MiniVGG1   horse-ship   \n",
       "268     MiniVGG1  horse-truck   \n",
       "269     MiniVGG1   ship-truck   \n",
       "\n",
       "                                       Accuracy_vector  \\\n",
       "265  [0.96999999999999997, 0.97850000000000004, 0.9...   \n",
       "266  [0.96499999999999997, 0.95599999999999996, 0.9...   \n",
       "267  [0.97899999999999998, 0.96999999999999997, 0.9...   \n",
       "268  [0.96899999999999997, 0.96750000000000003, 0.9...   \n",
       "269  [0.94650000000000001, 0.9415, 0.94899999999999...   \n",
       "\n",
       "                                      Precision_vector  \\\n",
       "265  [0.96850951374207184, 0.97553715170278643, 0.9...   \n",
       "266  [0.96400428265524618, 0.95599999999999996, 0.9...   \n",
       "267  [0.97172773279352231, 0.94822393822393825, 0.9...   \n",
       "268  [0.95894999999999997, 0.96165015641293006, 0.9...   \n",
       "269  [0.93070291363163371, 0.92789373007438902, 0.9...   \n",
       "\n",
       "                                         Recall_vector  \\\n",
       "265  [0.94299999999999995, 0.96299999999999997, 0.9...   \n",
       "266  [0.93200000000000005, 0.91200000000000003, 0.9...   \n",
       "267  [0.97299999999999998, 0.98799999999999999, 0.9...   \n",
       "268  [0.95899999999999996, 0.94699999999999995, 0.9...   \n",
       "269  [0.92700000000000005, 0.91200000000000003, 0.9...   \n",
       "\n",
       "                                             F1_vector  Accuracy_avg  \\\n",
       "265  [0.96916752312435761, 0.97816150330116813, 0.9...       0.97565   \n",
       "266  [0.96380558428128238, 0.95397489539748959, 0.9...       0.96545   \n",
       "267  [0.97887323943661964, 0.97053045186640474, 0.9...       0.97085   \n",
       "268  [0.9686868686868686, 0.96681980602348128, 0.97...       0.96660   \n",
       "269  [0.94543600203977562, 0.9397217928902627, 0.94...       0.94545   \n",
       "\n",
       "     Precision_Avg  Recall_Avg    F1_avg  \n",
       "265       0.972557      0.9576  0.975153  \n",
       "266       0.964704      0.9324  0.964165  \n",
       "267       0.957640      0.9706  0.970888  \n",
       "268       0.955483      0.9570  0.966246  \n",
       "269       0.929194      0.9263  0.944339  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results_df.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['SmallSqueezeNet', 'ResNet10', 'MiniGoogLeNet1', 'AlexNet1',\n",
       "       'MiniVGG3', 'MiniVGG1'], dtype=object)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results_df['Architecture'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "classes = results_df['Classes'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['airplane-automobile', 'airplane-bird', 'airplane-cat',\n",
       "       'airplane-deer', 'airplane-dog', 'airplane-frog', 'airplane-horse',\n",
       "       'airplane-ship', 'airplane-truck', 'automobile-bird',\n",
       "       'automobile-cat', 'automobile-deer', 'automobile-dog',\n",
       "       'automobile-frog', 'automobile-horse', 'automobile-ship',\n",
       "       'automobile-truck', 'bird-cat', 'bird-deer', 'bird-dog',\n",
       "       'bird-frog', 'bird-horse', 'bird-ship', 'bird-truck', 'cat-deer',\n",
       "       'cat-dog', 'cat-frog', 'cat-horse', 'cat-ship', 'cat-truck',\n",
       "       'deer-dog', 'deer-frog', 'deer-horse', 'deer-ship', 'deer-truck',\n",
       "       'dog-frog', 'dog-horse', 'dog-ship', 'dog-truck', 'frog-horse',\n",
       "       'frog-ship', 'frog-truck', 'horse-ship', 'horse-truck',\n",
       "       'ship-truck'], dtype=object)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "classes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "def getClassWithHigherValue(classes, column):\n",
    "    for class_ in classes:\n",
    "        yield results_df.iloc[\n",
    "            results_df[results_df['Classes'] == class_][column].idxmax()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "metabase_df = pd.DataFrame(\n",
    "    getClassWithHigherValue(classes, 'Accuracy_avg')).reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": false
   },
   "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>Architecture</th>\n",
       "      <th>Classes</th>\n",
       "      <th>Accuracy_vector</th>\n",
       "      <th>Precision_vector</th>\n",
       "      <th>Recall_vector</th>\n",
       "      <th>F1_vector</th>\n",
       "      <th>Accuracy_avg</th>\n",
       "      <th>Precision_Avg</th>\n",
       "      <th>Recall_Avg</th>\n",
       "      <th>F1_avg</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>MiniVGG1</td>\n",
       "      <td>airplane-automobile</td>\n",
       "      <td>[0.97550000000000003, 0.97050000000000003, 0.9...</td>\n",
       "      <td>[0.96317397806580263, 0.95639910089910085, 0.9...</td>\n",
       "      <td>[0.97699999999999998, 0.97099999999999997, 0.9...</td>\n",
       "      <td>[0.97553669495756368, 0.97051474262868564, 0.9...</td>\n",
       "      <td>0.97190</td>\n",
       "      <td>0.956602</td>\n",
       "      <td>0.9766</td>\n",
       "      <td>0.972037</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>MiniVGG1</td>\n",
       "      <td>airplane-bird</td>\n",
       "      <td>[0.92149999999999999, 0.92000000000000004, 0.9...</td>\n",
       "      <td>[0.88043696275071626, 0.87799999999999989, 0.8...</td>\n",
       "      <td>[0.94499999999999995, 0.94499999999999995, 0.9...</td>\n",
       "      <td>[0.92330239374694667, 0.92195121951219505, 0.9...</td>\n",
       "      <td>0.91925</td>\n",
       "      <td>0.878482</td>\n",
       "      <td>0.9418</td>\n",
       "      <td>0.921148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>MiniVGG3</td>\n",
       "      <td>airplane-cat</td>\n",
       "      <td>[0.96350000000000002, 0.95850000000000002, 0.9...</td>\n",
       "      <td>[0.94985380710659895, 0.93158132820019246, 0.9...</td>\n",
       "      <td>[0.95599999999999996, 0.97799999999999998, 0.9...</td>\n",
       "      <td>[0.96322418136020149, 0.95929377145659633, 0.9...</td>\n",
       "      <td>0.95015</td>\n",
       "      <td>0.920075</td>\n",
       "      <td>0.9716</td>\n",
       "      <td>0.951379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>MiniGoogLeNet1</td>\n",
       "      <td>airplane-deer</td>\n",
       "      <td>[0.96450000000000002, 0.97099999999999997, 0.9...</td>\n",
       "      <td>[0.94996972754793141, 0.957341, 0.942411154985...</td>\n",
       "      <td>[0.95999999999999996, 0.97099999999999997, 0.9...</td>\n",
       "      <td>[0.96433952787543942, 0.97099999999999997, 0.9...</td>\n",
       "      <td>0.96365</td>\n",
       "      <td>0.945979</td>\n",
       "      <td>0.9657</td>\n",
       "      <td>0.963716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MiniGoogLeNet1</td>\n",
       "      <td>airplane-dog</td>\n",
       "      <td>[0.97050000000000003, 0.96799999999999997, 0.9...</td>\n",
       "      <td>[0.95684184184184184, 0.95795092024539885, 0.9...</td>\n",
       "      <td>[0.96999999999999997, 0.95699999999999996, 0.9...</td>\n",
       "      <td>[0.97048524262131075, 0.96764408493427712, 0.9...</td>\n",
       "      <td>0.96525</td>\n",
       "      <td>0.953657</td>\n",
       "      <td>0.9553</td>\n",
       "      <td>0.964880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>MiniGoogLeNet1</td>\n",
       "      <td>airplane-frog</td>\n",
       "      <td>[0.97950000000000004, 0.97150000000000003, 0.9...</td>\n",
       "      <td>[0.96807199602780525, 0.95221762414800404, 0.9...</td>\n",
       "      <td>[0.98299999999999998, 0.98499999999999999, 0.9...</td>\n",
       "      <td>[0.97957149975087199, 0.97187962506166758, 0.9...</td>\n",
       "      <td>0.96560</td>\n",
       "      <td>0.951720</td>\n",
       "      <td>0.9610</td>\n",
       "      <td>0.964927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>MiniVGG3</td>\n",
       "      <td>airplane-horse</td>\n",
       "      <td>[0.97750000000000004, 0.97650000000000003, 0.9...</td>\n",
       "      <td>[0.96744232698094279, 0.96283184965380808, 0.9...</td>\n",
       "      <td>[0.97599999999999998, 0.98199999999999998, 0.9...</td>\n",
       "      <td>[0.9774661992989484, 0.97662854301342605, 0.97...</td>\n",
       "      <td>0.96500</td>\n",
       "      <td>0.942993</td>\n",
       "      <td>0.9795</td>\n",
       "      <td>0.965587</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>MiniVGG3</td>\n",
       "      <td>airplane-ship</td>\n",
       "      <td>[0.94099999999999995, 0.94850000000000001, 0.9...</td>\n",
       "      <td>[0.90931650485436888, 0.92282082922013808, 0.9...</td>\n",
       "      <td>[0.95599999999999996, 0.95499999999999996, 0.9...</td>\n",
       "      <td>[0.94187192118226604, 0.94883258817685046, 0.9...</td>\n",
       "      <td>0.93570</td>\n",
       "      <td>0.904545</td>\n",
       "      <td>0.9446</td>\n",
       "      <td>0.936251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>MiniVGG3</td>\n",
       "      <td>airplane-truck</td>\n",
       "      <td>[0.95850000000000002, 0.95699999999999996, 0.9...</td>\n",
       "      <td>[0.93514838393731625, 0.92970327552986509, 0.9...</td>\n",
       "      <td>[0.96899999999999997, 0.97599999999999998, 0.9...</td>\n",
       "      <td>[0.95893122216724391, 0.95780176643768389, 0.9...</td>\n",
       "      <td>0.94775</td>\n",
       "      <td>0.915364</td>\n",
       "      <td>0.9735</td>\n",
       "      <td>0.949271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>MiniGoogLeNet1</td>\n",
       "      <td>automobile-bird</td>\n",
       "      <td>[0.98299999999999998, 0.98050000000000004, 0.9...</td>\n",
       "      <td>[0.97247920792079201, 0.96861819980217601, 0.9...</td>\n",
       "      <td>[0.98799999999999999, 0.98599999999999999, 0.9...</td>\n",
       "      <td>[0.98308457711442776, 0.98060666335156632, 0.9...</td>\n",
       "      <td>0.97695</td>\n",
       "      <td>0.961333</td>\n",
       "      <td>0.9875</td>\n",
       "      <td>0.977209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>MiniVGG3</td>\n",
       "      <td>automobile-cat</td>\n",
       "      <td>[0.97399999999999998, 0.97750000000000004, 0.9...</td>\n",
       "      <td>[0.95857396449704146, 0.96790201005025134, 0.9...</td>\n",
       "      <td>[0.98099999999999998, 0.97499999999999998, 0.9...</td>\n",
       "      <td>[0.97418073485600798, 0.97744360902255645, 0.9...</td>\n",
       "      <td>0.97095</td>\n",
       "      <td>0.958614</td>\n",
       "      <td>0.9681</td>\n",
       "      <td>0.970859</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>AlexNet1</td>\n",
       "      <td>automobile-deer</td>\n",
       "      <td>[0.98450000000000004, 0.98399999999999999, 0.9...</td>\n",
       "      <td>[0.97675574425574418, 0.98300411522633735, 0.9...</td>\n",
       "      <td>[0.98499999999999999, 0.96999999999999997, 0.9...</td>\n",
       "      <td>[0.98450774612693648, 0.98377281947261652, 0.9...</td>\n",
       "      <td>0.98565</td>\n",
       "      <td>0.977944</td>\n",
       "      <td>0.9874</td>\n",
       "      <td>0.985685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>MiniGoogLeNet1</td>\n",
       "      <td>automobile-dog</td>\n",
       "      <td>[0.98550000000000004, 0.98350000000000004, 0.9...</td>\n",
       "      <td>[0.97589564787339267, 0.97343706640237859, 0.9...</td>\n",
       "      <td>[0.99099999999999999, 0.98799999999999999, 0.9...</td>\n",
       "      <td>[0.98557931377424168, 0.98357391737182676, 0.9...</td>\n",
       "      <td>0.98145</td>\n",
       "      <td>0.971063</td>\n",
       "      <td>0.9847</td>\n",
       "      <td>0.981513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>MiniGoogLeNet1</td>\n",
       "      <td>automobile-frog</td>\n",
       "      <td>[0.98999999999999999, 0.98650000000000004, 0.9...</td>\n",
       "      <td>[0.98558116232464932, 0.98353654822335024, 0.9...</td>\n",
       "      <td>[0.98899999999999999, 0.97899999999999998, 0.9...</td>\n",
       "      <td>[0.98998998998998999, 0.98639798488664987, 0.9...</td>\n",
       "      <td>0.98375</td>\n",
       "      <td>0.976103</td>\n",
       "      <td>0.9834</td>\n",
       "      <td>0.983729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>MiniVGG3</td>\n",
       "      <td>automobile-horse</td>\n",
       "      <td>[0.99150000000000005, 0.99350000000000005, 0.9...</td>\n",
       "      <td>[0.98612039800995022, 0.98811992071357779, 0.9...</td>\n",
       "      <td>[0.99399999999999999, 0.998, 0.995, 0.98599999...</td>\n",
       "      <td>[0.99152119700748131, 0.99352911896465912, 0.9...</td>\n",
       "      <td>0.98805</td>\n",
       "      <td>0.979809</td>\n",
       "      <td>0.9933</td>\n",
       "      <td>0.988126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>MiniGoogLeNet1</td>\n",
       "      <td>automobile-ship</td>\n",
       "      <td>[0.97699999999999998, 0.97150000000000003, 0.9...</td>\n",
       "      <td>[0.96602900000000003, 0.96053488372093021, 0.9...</td>\n",
       "      <td>[0.97699999999999998, 0.96599999999999997, 0.9...</td>\n",
       "      <td>[0.97699999999999998, 0.97134238310708898, 0.9...</td>\n",
       "      <td>0.96710</td>\n",
       "      <td>0.952866</td>\n",
       "      <td>0.9646</td>\n",
       "      <td>0.967008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>MiniVGG3</td>\n",
       "      <td>automobile-truck</td>\n",
       "      <td>[0.95050000000000001, 0.94599999999999995, 0.9...</td>\n",
       "      <td>[0.9267894736842105, 0.92474036511156177, 0.92...</td>\n",
       "      <td>[0.95399999999999996, 0.93899999999999995, 0.9...</td>\n",
       "      <td>[0.95067264573991028, 0.94561933534743192, 0.9...</td>\n",
       "      <td>0.91975</td>\n",
       "      <td>0.875662</td>\n",
       "      <td>0.9619</td>\n",
       "      <td>0.923908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>MiniVGG3</td>\n",
       "      <td>bird-cat</td>\n",
       "      <td>[0.88649999999999995, 0.88500000000000001, 0.8...</td>\n",
       "      <td>[0.8461489252814739, 0.83475047984644912, 0.84...</td>\n",
       "      <td>[0.875, 0.90600000000000003, 0.896000000000000...</td>\n",
       "      <td>[0.88517956499747097, 0.88736532810969637, 0.8...</td>\n",
       "      <td>0.86835</td>\n",
       "      <td>0.821754</td>\n",
       "      <td>0.8637</td>\n",
       "      <td>0.867331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>MiniVGG1</td>\n",
       "      <td>bird-deer</td>\n",
       "      <td>[0.91449999999999998, 0.89300000000000002, 0.9...</td>\n",
       "      <td>[0.87719090009891199, 0.8376782449725777, 0.85...</td>\n",
       "      <td>[0.92000000000000004, 0.93999999999999995, 0.9...</td>\n",
       "      <td>[0.91496767777225274, 0.89780324737344797, 0.9...</td>\n",
       "      <td>0.89615</td>\n",
       "      <td>0.839720</td>\n",
       "      <td>0.9525</td>\n",
       "      <td>0.901828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>MiniVGG1</td>\n",
       "      <td>bird-dog</td>\n",
       "      <td>[0.91349999999999998, 0.91449999999999998, 0.9...</td>\n",
       "      <td>[0.87963397371081897, 0.87197698945349944, 0.8...</td>\n",
       "      <td>[0.90800000000000003, 0.93600000000000005, 0.8...</td>\n",
       "      <td>[0.91302161890397182, 0.91629955947136554, 0.8...</td>\n",
       "      <td>0.89740</td>\n",
       "      <td>0.853868</td>\n",
       "      <td>0.9122</td>\n",
       "      <td>0.898548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>AlexNet1</td>\n",
       "      <td>bird-frog</td>\n",
       "      <td>[0.91000000000000003, 0.90149999999999997, 0.9...</td>\n",
       "      <td>[0.86064814814814816, 0.84404088888888895, 0.8...</td>\n",
       "      <td>[0.94999999999999996, 0.96399999999999997, 0.8...</td>\n",
       "      <td>[0.91346153846153855, 0.90729411764705892, 0.9...</td>\n",
       "      <td>0.90810</td>\n",
       "      <td>0.859135</td>\n",
       "      <td>0.9475</td>\n",
       "      <td>0.911645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>MiniVGG3</td>\n",
       "      <td>bird-horse</td>\n",
       "      <td>[0.9405, 0.93799999999999994, 0.9335, 0.9405, ...</td>\n",
       "      <td>[0.92091209927611173, 0.91239112903225816, 0.9...</td>\n",
       "      <td>[0.92400000000000004, 0.93400000000000005, 0.9...</td>\n",
       "      <td>[0.93950177935943069, 0.93775100401606426, 0.9...</td>\n",
       "      <td>0.92165</td>\n",
       "      <td>0.896500</td>\n",
       "      <td>0.9023</td>\n",
       "      <td>0.919310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>MiniVGG3</td>\n",
       "      <td>bird-ship</td>\n",
       "      <td>[0.97399999999999998, 0.97099999999999997, 0.9...</td>\n",
       "      <td>[0.96440485829959521, 0.95601789264413517, 0.9...</td>\n",
       "      <td>[0.96799999999999997, 0.97399999999999998, 0.9...</td>\n",
       "      <td>[0.97384305835010065, 0.97108673978065796, 0.9...</td>\n",
       "      <td>0.96505</td>\n",
       "      <td>0.955027</td>\n",
       "      <td>0.9512</td>\n",
       "      <td>0.964490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>MiniGoogLeNet1</td>\n",
       "      <td>bird-truck</td>\n",
       "      <td>[0.98150000000000004, 0.98299999999999998, 0.9...</td>\n",
       "      <td>[0.97612284263959392, 0.97858231707317067, 0.9...</td>\n",
       "      <td>[0.97399999999999998, 0.97499999999999998, 0.9...</td>\n",
       "      <td>[0.98136020151133496, 0.98286290322580649, 0.9...</td>\n",
       "      <td>0.97760</td>\n",
       "      <td>0.970967</td>\n",
       "      <td>0.9689</td>\n",
       "      <td>0.977375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>MiniVGG3</td>\n",
       "      <td>cat-deer</td>\n",
       "      <td>[0.90200000000000002, 0.90049999999999997, 0.9...</td>\n",
       "      <td>[0.86164015904572566, 0.85374306220095697, 0.8...</td>\n",
       "      <td>[0.90500000000000003, 0.92300000000000004, 0.9...</td>\n",
       "      <td>[0.90229312063808587, 0.90268948655256731, 0.9...</td>\n",
       "      <td>0.88815</td>\n",
       "      <td>0.832959</td>\n",
       "      <td>0.9360</td>\n",
       "      <td>0.893529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>MiniVGG3</td>\n",
       "      <td>cat-dog</td>\n",
       "      <td>[0.84999999999999998, 0.84650000000000003, 0.8...</td>\n",
       "      <td>[0.79013157894736841, 0.79639076923076924, 0.8...</td>\n",
       "      <td>[0.88200000000000001, 0.83399999999999996, 0.8...</td>\n",
       "      <td>[0.85465116279069764, 0.8445569620253166, 0.84...</td>\n",
       "      <td>0.82165</td>\n",
       "      <td>0.772901</td>\n",
       "      <td>0.7882</td>\n",
       "      <td>0.814826</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>MiniGoogLeNet1</td>\n",
       "      <td>cat-frog</td>\n",
       "      <td>[0.91749999999999998, 0.91300000000000003, 0.9...</td>\n",
       "      <td>[0.88679519918283967, 0.88343879668049796, 0.8...</td>\n",
       "      <td>[0.90700000000000003, 0.89500000000000002, 0.8...</td>\n",
       "      <td>[0.91662455785750385, 0.91140529531568226, 0.9...</td>\n",
       "      <td>0.90205</td>\n",
       "      <td>0.861804</td>\n",
       "      <td>0.9095</td>\n",
       "      <td>0.902998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>MiniVGG3</td>\n",
       "      <td>cat-horse</td>\n",
       "      <td>[0.9345, 0.93049999999999999, 0.9355, 0.927000...</td>\n",
       "      <td>[0.9043562933597622, 0.90611534500514934, 0.91...</td>\n",
       "      <td>[0.93899999999999995, 0.91600000000000004, 0.9...</td>\n",
       "      <td>[0.93479342956694877, 0.92947742262810762, 0.9...</td>\n",
       "      <td>0.92065</td>\n",
       "      <td>0.893989</td>\n",
       "      <td>0.9026</td>\n",
       "      <td>0.919069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>MiniVGG3</td>\n",
       "      <td>cat-ship</td>\n",
       "      <td>[0.96150000000000002, 0.96650000000000003, 0.9...</td>\n",
       "      <td>[0.93772983479105931, 0.95022133599202385, 0.9...</td>\n",
       "      <td>[0.97599999999999998, 0.96799999999999997, 0.9...</td>\n",
       "      <td>[0.96205027106949237, 0.96655017473789306, 0.9...</td>\n",
       "      <td>0.96070</td>\n",
       "      <td>0.944049</td>\n",
       "      <td>0.9578</td>\n",
       "      <td>0.960557</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>MiniGoogLeNet1</td>\n",
       "      <td>cat-truck</td>\n",
       "      <td>[0.97099999999999997, 0.96499999999999997, 0.9...</td>\n",
       "      <td>[0.96326283367556464, 0.96301705756929645, 0.9...</td>\n",
       "      <td>[0.95799999999999996, 0.93400000000000005, 0.9...</td>\n",
       "      <td>[0.97061803444782169, 0.9638802889576884, 0.97...</td>\n",
       "      <td>0.96750</td>\n",
       "      <td>0.954061</td>\n",
       "      <td>0.9642</td>\n",
       "      <td>0.967414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>MiniVGG3</td>\n",
       "      <td>deer-dog</td>\n",
       "      <td>[0.92900000000000005, 0.93500000000000005, 0.9...</td>\n",
       "      <td>[0.90462500000000001, 0.91837579617834386, 0.8...</td>\n",
       "      <td>[0.91300000000000003, 0.90600000000000003, 0.9...</td>\n",
       "      <td>[0.92784552845528456, 0.93305870236869193, 0.9...</td>\n",
       "      <td>0.91460</td>\n",
       "      <td>0.894670</td>\n",
       "      <td>0.8743</td>\n",
       "      <td>0.910139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>MiniVGG3</td>\n",
       "      <td>deer-frog</td>\n",
       "      <td>[0.95650000000000002, 0.95450000000000002, 0.9...</td>\n",
       "      <td>[0.93938703140830804, 0.93157270029673589, 0.9...</td>\n",
       "      <td>[0.94999999999999996, 0.95999999999999996, 0.9...</td>\n",
       "      <td>[0.95621540010065431, 0.95474888115365497, 0.9...</td>\n",
       "      <td>0.93560</td>\n",
       "      <td>0.897821</td>\n",
       "      <td>0.9662</td>\n",
       "      <td>0.937796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>MiniVGG3</td>\n",
       "      <td>deer-horse</td>\n",
       "      <td>[0.9415, 0.94550000000000001, 0.94450000000000...</td>\n",
       "      <td>[0.91904323499491358, 0.92714778578784762, 0.9...</td>\n",
       "      <td>[0.93300000000000005, 0.93100000000000005, 0.9...</td>\n",
       "      <td>[0.94099848714069589, 0.94469812278031462, 0.9...</td>\n",
       "      <td>0.91690</td>\n",
       "      <td>0.896137</td>\n",
       "      <td>0.8820</td>\n",
       "      <td>0.913130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>MiniGoogLeNet1</td>\n",
       "      <td>deer-ship</td>\n",
       "      <td>[0.98399999999999999, 0.98350000000000004, 0.9...</td>\n",
       "      <td>[0.97439682539682537, 0.97528871128871131, 0.9...</td>\n",
       "      <td>[0.98799999999999999, 0.98399999999999999, 0.9...</td>\n",
       "      <td>[0.98406374501992022, 0.98350824587706143, 0.9...</td>\n",
       "      <td>0.97830</td>\n",
       "      <td>0.966013</td>\n",
       "      <td>0.9829</td>\n",
       "      <td>0.978432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>MiniVGG1</td>\n",
       "      <td>deer-truck</td>\n",
       "      <td>[0.98799999999999999, 0.98250000000000004, 0.9...</td>\n",
       "      <td>[0.98406451612903223, 0.97760152284263957, 0.9...</td>\n",
       "      <td>[0.98399999999999999, 0.97499999999999998, 0.9...</td>\n",
       "      <td>[0.98795180722891562, 0.98236775818639799, 0.9...</td>\n",
       "      <td>0.98215</td>\n",
       "      <td>0.979045</td>\n",
       "      <td>0.9706</td>\n",
       "      <td>0.981931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>MiniVGG3</td>\n",
       "      <td>dog-frog</td>\n",
       "      <td>[0.95150000000000001, 0.95650000000000002, 0.9...</td>\n",
       "      <td>[0.93103927492447136, 0.93076919339164244, 0.9...</td>\n",
       "      <td>[0.94799999999999995, 0.97099999999999997, 0.9...</td>\n",
       "      <td>[0.95132965378825896, 0.95712173484475116, 0.9...</td>\n",
       "      <td>0.94255</td>\n",
       "      <td>0.907929</td>\n",
       "      <td>0.9692</td>\n",
       "      <td>0.944201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>MiniVGG1</td>\n",
       "      <td>dog-horse</td>\n",
       "      <td>[0.91200000000000003, 0.91100000000000003, 0.9...</td>\n",
       "      <td>[0.88099381443298974, 0.87475951903807614, 0.8...</td>\n",
       "      <td>[0.89700000000000002, 0.91000000000000003, 0.9...</td>\n",
       "      <td>[0.91065989847715745, 0.91091091091091092, 0.9...</td>\n",
       "      <td>0.91010</td>\n",
       "      <td>0.880114</td>\n",
       "      <td>0.8919</td>\n",
       "      <td>0.908171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>MiniVGG1</td>\n",
       "      <td>dog-ship</td>\n",
       "      <td>[0.98150000000000004, 0.97850000000000004, 0.9...</td>\n",
       "      <td>[0.9718988035892322, 0.96662065541211528, 0.97...</td>\n",
       "      <td>[0.98299999999999998, 0.98199999999999998, 0.9...</td>\n",
       "      <td>[0.98152770843734405, 0.97857498754359751, 0.9...</td>\n",
       "      <td>0.97900</td>\n",
       "      <td>0.967914</td>\n",
       "      <td>0.9813</td>\n",
       "      <td>0.979050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>MiniGoogLeNet1</td>\n",
       "      <td>dog-truck</td>\n",
       "      <td>[0.98499999999999999, 0.98250000000000004, 0.9...</td>\n",
       "      <td>[0.97962197580645149, 0.97243793445878846, 0.9...</td>\n",
       "      <td>[0.98099999999999998, 0.98599999999999999, 0.9...</td>\n",
       "      <td>[0.9849397590361445, 0.98256103637269554, 0.98...</td>\n",
       "      <td>0.97840</td>\n",
       "      <td>0.968089</td>\n",
       "      <td>0.9784</td>\n",
       "      <td>0.978396</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>MiniGoogLeNet1</td>\n",
       "      <td>frog-horse</td>\n",
       "      <td>[0.97650000000000003, 0.97650000000000003, 0.9...</td>\n",
       "      <td>[0.96598545636910726, 0.96417263681592047, 0.9...</td>\n",
       "      <td>[0.97499999999999998, 0.97899999999999998, 0.9...</td>\n",
       "      <td>[0.97646469704556837, 0.97655860349127188, 0.9...</td>\n",
       "      <td>0.97125</td>\n",
       "      <td>0.958213</td>\n",
       "      <td>0.9703</td>\n",
       "      <td>0.971219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>MiniGoogLeNet1</td>\n",
       "      <td>frog-ship</td>\n",
       "      <td>[0.98650000000000004, 0.98550000000000004, 0.9...</td>\n",
       "      <td>[0.98112160804020099, 0.97916950852557672, 0.9...</td>\n",
       "      <td>[0.98399999999999999, 0.98399999999999999, 0.9...</td>\n",
       "      <td>[0.98646616541353382, 0.98547821732598895, 0.9...</td>\n",
       "      <td>0.98130</td>\n",
       "      <td>0.974671</td>\n",
       "      <td>0.9763</td>\n",
       "      <td>0.981136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>MiniVGG3</td>\n",
       "      <td>frog-truck</td>\n",
       "      <td>[0.98599999999999999, 0.97850000000000004, 0.9...</td>\n",
       "      <td>[0.98254969574036499, 0.97553715170278643, 0.9...</td>\n",
       "      <td>[0.97899999999999998, 0.96299999999999997, 0.9...</td>\n",
       "      <td>[0.98590130916414898, 0.97816150330116813, 0.9...</td>\n",
       "      <td>0.98010</td>\n",
       "      <td>0.976707</td>\n",
       "      <td>0.9671</td>\n",
       "      <td>0.979792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>MiniVGG3</td>\n",
       "      <td>horse-ship</td>\n",
       "      <td>[0.98350000000000004, 0.98499999999999999, 0.9...</td>\n",
       "      <td>[0.97669698492462298, 0.97914486921529176, 0.9...</td>\n",
       "      <td>[0.98099999999999998, 0.98199999999999998, 0.9...</td>\n",
       "      <td>[0.98345864661654125, 0.98495486459378134, 0.9...</td>\n",
       "      <td>0.97825</td>\n",
       "      <td>0.970667</td>\n",
       "      <td>0.9724</td>\n",
       "      <td>0.978120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>MiniVGG3</td>\n",
       "      <td>horse-truck</td>\n",
       "      <td>[0.98299999999999998, 0.98099999999999998, 0.9...</td>\n",
       "      <td>[0.97762246963562749, 0.97139920159680637, 0.9...</td>\n",
       "      <td>[0.97699999999999998, 0.98199999999999998, 0.9...</td>\n",
       "      <td>[0.98289738430583495, 0.98101898101898088, 0.9...</td>\n",
       "      <td>0.97565</td>\n",
       "      <td>0.963455</td>\n",
       "      <td>0.9780</td>\n",
       "      <td>0.975767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>MiniVGG3</td>\n",
       "      <td>ship-truck</td>\n",
       "      <td>[0.96399999999999997, 0.96950000000000003, 0.9...</td>\n",
       "      <td>[0.94686626746506986, 0.95673413897280968, 0.9...</td>\n",
       "      <td>[0.96499999999999997, 0.96599999999999997, 0.9...</td>\n",
       "      <td>[0.96403596403596403, 0.96939287506271954, 0.9...</td>\n",
       "      <td>0.96090</td>\n",
       "      <td>0.942395</td>\n",
       "      <td>0.9624</td>\n",
       "      <td>0.960918</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Architecture              Classes  \\\n",
       "0         MiniVGG1  airplane-automobile   \n",
       "1         MiniVGG1        airplane-bird   \n",
       "2         MiniVGG3         airplane-cat   \n",
       "3   MiniGoogLeNet1        airplane-deer   \n",
       "4   MiniGoogLeNet1         airplane-dog   \n",
       "5   MiniGoogLeNet1        airplane-frog   \n",
       "6         MiniVGG3       airplane-horse   \n",
       "7         MiniVGG3        airplane-ship   \n",
       "8         MiniVGG3       airplane-truck   \n",
       "9   MiniGoogLeNet1      automobile-bird   \n",
       "10        MiniVGG3       automobile-cat   \n",
       "11        AlexNet1      automobile-deer   \n",
       "12  MiniGoogLeNet1       automobile-dog   \n",
       "13  MiniGoogLeNet1      automobile-frog   \n",
       "14        MiniVGG3     automobile-horse   \n",
       "15  MiniGoogLeNet1      automobile-ship   \n",
       "16        MiniVGG3     automobile-truck   \n",
       "17        MiniVGG3             bird-cat   \n",
       "18        MiniVGG1            bird-deer   \n",
       "19        MiniVGG1             bird-dog   \n",
       "20        AlexNet1            bird-frog   \n",
       "21        MiniVGG3           bird-horse   \n",
       "22        MiniVGG3            bird-ship   \n",
       "23  MiniGoogLeNet1           bird-truck   \n",
       "24        MiniVGG3             cat-deer   \n",
       "25        MiniVGG3              cat-dog   \n",
       "26  MiniGoogLeNet1             cat-frog   \n",
       "27        MiniVGG3            cat-horse   \n",
       "28        MiniVGG3             cat-ship   \n",
       "29  MiniGoogLeNet1            cat-truck   \n",
       "30        MiniVGG3             deer-dog   \n",
       "31        MiniVGG3            deer-frog   \n",
       "32        MiniVGG3           deer-horse   \n",
       "33  MiniGoogLeNet1            deer-ship   \n",
       "34        MiniVGG1           deer-truck   \n",
       "35        MiniVGG3             dog-frog   \n",
       "36        MiniVGG1            dog-horse   \n",
       "37        MiniVGG1             dog-ship   \n",
       "38  MiniGoogLeNet1            dog-truck   \n",
       "39  MiniGoogLeNet1           frog-horse   \n",
       "40  MiniGoogLeNet1            frog-ship   \n",
       "41        MiniVGG3           frog-truck   \n",
       "42        MiniVGG3           horse-ship   \n",
       "43        MiniVGG3          horse-truck   \n",
       "44        MiniVGG3           ship-truck   \n",
       "\n",
       "                                      Accuracy_vector  \\\n",
       "0   [0.97550000000000003, 0.97050000000000003, 0.9...   \n",
       "1   [0.92149999999999999, 0.92000000000000004, 0.9...   \n",
       "2   [0.96350000000000002, 0.95850000000000002, 0.9...   \n",
       "3   [0.96450000000000002, 0.97099999999999997, 0.9...   \n",
       "4   [0.97050000000000003, 0.96799999999999997, 0.9...   \n",
       "5   [0.97950000000000004, 0.97150000000000003, 0.9...   \n",
       "6   [0.97750000000000004, 0.97650000000000003, 0.9...   \n",
       "7   [0.94099999999999995, 0.94850000000000001, 0.9...   \n",
       "8   [0.95850000000000002, 0.95699999999999996, 0.9...   \n",
       "9   [0.98299999999999998, 0.98050000000000004, 0.9...   \n",
       "10  [0.97399999999999998, 0.97750000000000004, 0.9...   \n",
       "11  [0.98450000000000004, 0.98399999999999999, 0.9...   \n",
       "12  [0.98550000000000004, 0.98350000000000004, 0.9...   \n",
       "13  [0.98999999999999999, 0.98650000000000004, 0.9...   \n",
       "14  [0.99150000000000005, 0.99350000000000005, 0.9...   \n",
       "15  [0.97699999999999998, 0.97150000000000003, 0.9...   \n",
       "16  [0.95050000000000001, 0.94599999999999995, 0.9...   \n",
       "17  [0.88649999999999995, 0.88500000000000001, 0.8...   \n",
       "18  [0.91449999999999998, 0.89300000000000002, 0.9...   \n",
       "19  [0.91349999999999998, 0.91449999999999998, 0.9...   \n",
       "20  [0.91000000000000003, 0.90149999999999997, 0.9...   \n",
       "21  [0.9405, 0.93799999999999994, 0.9335, 0.9405, ...   \n",
       "22  [0.97399999999999998, 0.97099999999999997, 0.9...   \n",
       "23  [0.98150000000000004, 0.98299999999999998, 0.9...   \n",
       "24  [0.90200000000000002, 0.90049999999999997, 0.9...   \n",
       "25  [0.84999999999999998, 0.84650000000000003, 0.8...   \n",
       "26  [0.91749999999999998, 0.91300000000000003, 0.9...   \n",
       "27  [0.9345, 0.93049999999999999, 0.9355, 0.927000...   \n",
       "28  [0.96150000000000002, 0.96650000000000003, 0.9...   \n",
       "29  [0.97099999999999997, 0.96499999999999997, 0.9...   \n",
       "30  [0.92900000000000005, 0.93500000000000005, 0.9...   \n",
       "31  [0.95650000000000002, 0.95450000000000002, 0.9...   \n",
       "32  [0.9415, 0.94550000000000001, 0.94450000000000...   \n",
       "33  [0.98399999999999999, 0.98350000000000004, 0.9...   \n",
       "34  [0.98799999999999999, 0.98250000000000004, 0.9...   \n",
       "35  [0.95150000000000001, 0.95650000000000002, 0.9...   \n",
       "36  [0.91200000000000003, 0.91100000000000003, 0.9...   \n",
       "37  [0.98150000000000004, 0.97850000000000004, 0.9...   \n",
       "38  [0.98499999999999999, 0.98250000000000004, 0.9...   \n",
       "39  [0.97650000000000003, 0.97650000000000003, 0.9...   \n",
       "40  [0.98650000000000004, 0.98550000000000004, 0.9...   \n",
       "41  [0.98599999999999999, 0.97850000000000004, 0.9...   \n",
       "42  [0.98350000000000004, 0.98499999999999999, 0.9...   \n",
       "43  [0.98299999999999998, 0.98099999999999998, 0.9...   \n",
       "44  [0.96399999999999997, 0.96950000000000003, 0.9...   \n",
       "\n",
       "                                     Precision_vector  \\\n",
       "0   [0.96317397806580263, 0.95639910089910085, 0.9...   \n",
       "1   [0.88043696275071626, 0.87799999999999989, 0.8...   \n",
       "2   [0.94985380710659895, 0.93158132820019246, 0.9...   \n",
       "3   [0.94996972754793141, 0.957341, 0.942411154985...   \n",
       "4   [0.95684184184184184, 0.95795092024539885, 0.9...   \n",
       "5   [0.96807199602780525, 0.95221762414800404, 0.9...   \n",
       "6   [0.96744232698094279, 0.96283184965380808, 0.9...   \n",
       "7   [0.90931650485436888, 0.92282082922013808, 0.9...   \n",
       "8   [0.93514838393731625, 0.92970327552986509, 0.9...   \n",
       "9   [0.97247920792079201, 0.96861819980217601, 0.9...   \n",
       "10  [0.95857396449704146, 0.96790201005025134, 0.9...   \n",
       "11  [0.97675574425574418, 0.98300411522633735, 0.9...   \n",
       "12  [0.97589564787339267, 0.97343706640237859, 0.9...   \n",
       "13  [0.98558116232464932, 0.98353654822335024, 0.9...   \n",
       "14  [0.98612039800995022, 0.98811992071357779, 0.9...   \n",
       "15  [0.96602900000000003, 0.96053488372093021, 0.9...   \n",
       "16  [0.9267894736842105, 0.92474036511156177, 0.92...   \n",
       "17  [0.8461489252814739, 0.83475047984644912, 0.84...   \n",
       "18  [0.87719090009891199, 0.8376782449725777, 0.85...   \n",
       "19  [0.87963397371081897, 0.87197698945349944, 0.8...   \n",
       "20  [0.86064814814814816, 0.84404088888888895, 0.8...   \n",
       "21  [0.92091209927611173, 0.91239112903225816, 0.9...   \n",
       "22  [0.96440485829959521, 0.95601789264413517, 0.9...   \n",
       "23  [0.97612284263959392, 0.97858231707317067, 0.9...   \n",
       "24  [0.86164015904572566, 0.85374306220095697, 0.8...   \n",
       "25  [0.79013157894736841, 0.79639076923076924, 0.8...   \n",
       "26  [0.88679519918283967, 0.88343879668049796, 0.8...   \n",
       "27  [0.9043562933597622, 0.90611534500514934, 0.91...   \n",
       "28  [0.93772983479105931, 0.95022133599202385, 0.9...   \n",
       "29  [0.96326283367556464, 0.96301705756929645, 0.9...   \n",
       "30  [0.90462500000000001, 0.91837579617834386, 0.8...   \n",
       "31  [0.93938703140830804, 0.93157270029673589, 0.9...   \n",
       "32  [0.91904323499491358, 0.92714778578784762, 0.9...   \n",
       "33  [0.97439682539682537, 0.97528871128871131, 0.9...   \n",
       "34  [0.98406451612903223, 0.97760152284263957, 0.9...   \n",
       "35  [0.93103927492447136, 0.93076919339164244, 0.9...   \n",
       "36  [0.88099381443298974, 0.87475951903807614, 0.8...   \n",
       "37  [0.9718988035892322, 0.96662065541211528, 0.97...   \n",
       "38  [0.97962197580645149, 0.97243793445878846, 0.9...   \n",
       "39  [0.96598545636910726, 0.96417263681592047, 0.9...   \n",
       "40  [0.98112160804020099, 0.97916950852557672, 0.9...   \n",
       "41  [0.98254969574036499, 0.97553715170278643, 0.9...   \n",
       "42  [0.97669698492462298, 0.97914486921529176, 0.9...   \n",
       "43  [0.97762246963562749, 0.97139920159680637, 0.9...   \n",
       "44  [0.94686626746506986, 0.95673413897280968, 0.9...   \n",
       "\n",
       "                                        Recall_vector  \\\n",
       "0   [0.97699999999999998, 0.97099999999999997, 0.9...   \n",
       "1   [0.94499999999999995, 0.94499999999999995, 0.9...   \n",
       "2   [0.95599999999999996, 0.97799999999999998, 0.9...   \n",
       "3   [0.95999999999999996, 0.97099999999999997, 0.9...   \n",
       "4   [0.96999999999999997, 0.95699999999999996, 0.9...   \n",
       "5   [0.98299999999999998, 0.98499999999999999, 0.9...   \n",
       "6   [0.97599999999999998, 0.98199999999999998, 0.9...   \n",
       "7   [0.95599999999999996, 0.95499999999999996, 0.9...   \n",
       "8   [0.96899999999999997, 0.97599999999999998, 0.9...   \n",
       "9   [0.98799999999999999, 0.98599999999999999, 0.9...   \n",
       "10  [0.98099999999999998, 0.97499999999999998, 0.9...   \n",
       "11  [0.98499999999999999, 0.96999999999999997, 0.9...   \n",
       "12  [0.99099999999999999, 0.98799999999999999, 0.9...   \n",
       "13  [0.98899999999999999, 0.97899999999999998, 0.9...   \n",
       "14  [0.99399999999999999, 0.998, 0.995, 0.98599999...   \n",
       "15  [0.97699999999999998, 0.96599999999999997, 0.9...   \n",
       "16  [0.95399999999999996, 0.93899999999999995, 0.9...   \n",
       "17  [0.875, 0.90600000000000003, 0.896000000000000...   \n",
       "18  [0.92000000000000004, 0.93999999999999995, 0.9...   \n",
       "19  [0.90800000000000003, 0.93600000000000005, 0.8...   \n",
       "20  [0.94999999999999996, 0.96399999999999997, 0.8...   \n",
       "21  [0.92400000000000004, 0.93400000000000005, 0.9...   \n",
       "22  [0.96799999999999997, 0.97399999999999998, 0.9...   \n",
       "23  [0.97399999999999998, 0.97499999999999998, 0.9...   \n",
       "24  [0.90500000000000003, 0.92300000000000004, 0.9...   \n",
       "25  [0.88200000000000001, 0.83399999999999996, 0.8...   \n",
       "26  [0.90700000000000003, 0.89500000000000002, 0.8...   \n",
       "27  [0.93899999999999995, 0.91600000000000004, 0.9...   \n",
       "28  [0.97599999999999998, 0.96799999999999997, 0.9...   \n",
       "29  [0.95799999999999996, 0.93400000000000005, 0.9...   \n",
       "30  [0.91300000000000003, 0.90600000000000003, 0.9...   \n",
       "31  [0.94999999999999996, 0.95999999999999996, 0.9...   \n",
       "32  [0.93300000000000005, 0.93100000000000005, 0.9...   \n",
       "33  [0.98799999999999999, 0.98399999999999999, 0.9...   \n",
       "34  [0.98399999999999999, 0.97499999999999998, 0.9...   \n",
       "35  [0.94799999999999995, 0.97099999999999997, 0.9...   \n",
       "36  [0.89700000000000002, 0.91000000000000003, 0.9...   \n",
       "37  [0.98299999999999998, 0.98199999999999998, 0.9...   \n",
       "38  [0.98099999999999998, 0.98599999999999999, 0.9...   \n",
       "39  [0.97499999999999998, 0.97899999999999998, 0.9...   \n",
       "40  [0.98399999999999999, 0.98399999999999999, 0.9...   \n",
       "41  [0.97899999999999998, 0.96299999999999997, 0.9...   \n",
       "42  [0.98099999999999998, 0.98199999999999998, 0.9...   \n",
       "43  [0.97699999999999998, 0.98199999999999998, 0.9...   \n",
       "44  [0.96499999999999997, 0.96599999999999997, 0.9...   \n",
       "\n",
       "                                            F1_vector  Accuracy_avg  \\\n",
       "0   [0.97553669495756368, 0.97051474262868564, 0.9...       0.97190   \n",
       "1   [0.92330239374694667, 0.92195121951219505, 0.9...       0.91925   \n",
       "2   [0.96322418136020149, 0.95929377145659633, 0.9...       0.95015   \n",
       "3   [0.96433952787543942, 0.97099999999999997, 0.9...       0.96365   \n",
       "4   [0.97048524262131075, 0.96764408493427712, 0.9...       0.96525   \n",
       "5   [0.97957149975087199, 0.97187962506166758, 0.9...       0.96560   \n",
       "6   [0.9774661992989484, 0.97662854301342605, 0.97...       0.96500   \n",
       "7   [0.94187192118226604, 0.94883258817685046, 0.9...       0.93570   \n",
       "8   [0.95893122216724391, 0.95780176643768389, 0.9...       0.94775   \n",
       "9   [0.98308457711442776, 0.98060666335156632, 0.9...       0.97695   \n",
       "10  [0.97418073485600798, 0.97744360902255645, 0.9...       0.97095   \n",
       "11  [0.98450774612693648, 0.98377281947261652, 0.9...       0.98565   \n",
       "12  [0.98557931377424168, 0.98357391737182676, 0.9...       0.98145   \n",
       "13  [0.98998998998998999, 0.98639798488664987, 0.9...       0.98375   \n",
       "14  [0.99152119700748131, 0.99352911896465912, 0.9...       0.98805   \n",
       "15  [0.97699999999999998, 0.97134238310708898, 0.9...       0.96710   \n",
       "16  [0.95067264573991028, 0.94561933534743192, 0.9...       0.91975   \n",
       "17  [0.88517956499747097, 0.88736532810969637, 0.8...       0.86835   \n",
       "18  [0.91496767777225274, 0.89780324737344797, 0.9...       0.89615   \n",
       "19  [0.91302161890397182, 0.91629955947136554, 0.8...       0.89740   \n",
       "20  [0.91346153846153855, 0.90729411764705892, 0.9...       0.90810   \n",
       "21  [0.93950177935943069, 0.93775100401606426, 0.9...       0.92165   \n",
       "22  [0.97384305835010065, 0.97108673978065796, 0.9...       0.96505   \n",
       "23  [0.98136020151133496, 0.98286290322580649, 0.9...       0.97760   \n",
       "24  [0.90229312063808587, 0.90268948655256731, 0.9...       0.88815   \n",
       "25  [0.85465116279069764, 0.8445569620253166, 0.84...       0.82165   \n",
       "26  [0.91662455785750385, 0.91140529531568226, 0.9...       0.90205   \n",
       "27  [0.93479342956694877, 0.92947742262810762, 0.9...       0.92065   \n",
       "28  [0.96205027106949237, 0.96655017473789306, 0.9...       0.96070   \n",
       "29  [0.97061803444782169, 0.9638802889576884, 0.97...       0.96750   \n",
       "30  [0.92784552845528456, 0.93305870236869193, 0.9...       0.91460   \n",
       "31  [0.95621540010065431, 0.95474888115365497, 0.9...       0.93560   \n",
       "32  [0.94099848714069589, 0.94469812278031462, 0.9...       0.91690   \n",
       "33  [0.98406374501992022, 0.98350824587706143, 0.9...       0.97830   \n",
       "34  [0.98795180722891562, 0.98236775818639799, 0.9...       0.98215   \n",
       "35  [0.95132965378825896, 0.95712173484475116, 0.9...       0.94255   \n",
       "36  [0.91065989847715745, 0.91091091091091092, 0.9...       0.91010   \n",
       "37  [0.98152770843734405, 0.97857498754359751, 0.9...       0.97900   \n",
       "38  [0.9849397590361445, 0.98256103637269554, 0.98...       0.97840   \n",
       "39  [0.97646469704556837, 0.97655860349127188, 0.9...       0.97125   \n",
       "40  [0.98646616541353382, 0.98547821732598895, 0.9...       0.98130   \n",
       "41  [0.98590130916414898, 0.97816150330116813, 0.9...       0.98010   \n",
       "42  [0.98345864661654125, 0.98495486459378134, 0.9...       0.97825   \n",
       "43  [0.98289738430583495, 0.98101898101898088, 0.9...       0.97565   \n",
       "44  [0.96403596403596403, 0.96939287506271954, 0.9...       0.96090   \n",
       "\n",
       "    Precision_Avg  Recall_Avg    F1_avg  \n",
       "0        0.956602      0.9766  0.972037  \n",
       "1        0.878482      0.9418  0.921148  \n",
       "2        0.920075      0.9716  0.951379  \n",
       "3        0.945979      0.9657  0.963716  \n",
       "4        0.953657      0.9553  0.964880  \n",
       "5        0.951720      0.9610  0.964927  \n",
       "6        0.942993      0.9795  0.965587  \n",
       "7        0.904545      0.9446  0.936251  \n",
       "8        0.915364      0.9735  0.949271  \n",
       "9        0.961333      0.9875  0.977209  \n",
       "10       0.958614      0.9681  0.970859  \n",
       "11       0.977944      0.9874  0.985685  \n",
       "12       0.971063      0.9847  0.981513  \n",
       "13       0.976103      0.9834  0.983729  \n",
       "14       0.979809      0.9933  0.988126  \n",
       "15       0.952866      0.9646  0.967008  \n",
       "16       0.875662      0.9619  0.923908  \n",
       "17       0.821754      0.8637  0.867331  \n",
       "18       0.839720      0.9525  0.901828  \n",
       "19       0.853868      0.9122  0.898548  \n",
       "20       0.859135      0.9475  0.911645  \n",
       "21       0.896500      0.9023  0.919310  \n",
       "22       0.955027      0.9512  0.964490  \n",
       "23       0.970967      0.9689  0.977375  \n",
       "24       0.832959      0.9360  0.893529  \n",
       "25       0.772901      0.7882  0.814826  \n",
       "26       0.861804      0.9095  0.902998  \n",
       "27       0.893989      0.9026  0.919069  \n",
       "28       0.944049      0.9578  0.960557  \n",
       "29       0.954061      0.9642  0.967414  \n",
       "30       0.894670      0.8743  0.910139  \n",
       "31       0.897821      0.9662  0.937796  \n",
       "32       0.896137      0.8820  0.913130  \n",
       "33       0.966013      0.9829  0.978432  \n",
       "34       0.979045      0.9706  0.981931  \n",
       "35       0.907929      0.9692  0.944201  \n",
       "36       0.880114      0.8919  0.908171  \n",
       "37       0.967914      0.9813  0.979050  \n",
       "38       0.968089      0.9784  0.978396  \n",
       "39       0.958213      0.9703  0.971219  \n",
       "40       0.974671      0.9763  0.981136  \n",
       "41       0.976707      0.9671  0.979792  \n",
       "42       0.970667      0.9724  0.978120  \n",
       "43       0.963455      0.9780  0.975767  \n",
       "44       0.942395      0.9624  0.960918  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "metabase_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "metabase_df.to_csv('metabase.csv', index=False)"
   ]
  }
 ],
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