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chore: refresh CreditScoring notebook
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@RomanBredehoft @github-actions
RomanBredehoft authored and github-actions[bot] committed Oct 3, 2023
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Showing 1 changed file with 37 additions and 37 deletions.
74 changes: 37 additions & 37 deletions use_case_examples/credit_scoring/CreditScoring.ipynb
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},
{
"cell_type": "code",
"execution_count": 12,
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
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},
{
"cell_type": "code",
"execution_count": 13,
"execution_count": 7,
"metadata": {},
"outputs": [
{
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},
{
"cell_type": "code",
"execution_count": 14,
"execution_count": 8,
"metadata": {},
"outputs": [
{
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" <td>18.0</td>\n",
" <td>0.824</td>\n",
" <td>1192.0</td>\n",
" <td>0.0</td>\n",
" <td>0.001</td>\n",
" <td>0.824</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>DecisionTreeClassifier (sklearn)</td>\n",
" <td>1192</td>\n",
" <td></td>\n",
" <td>0.881</td>\n",
" <td>0.788</td>\n",
" <td>0.842</td>\n",
" <td>0.757</td>\n",
" <td>0.879</td>\n",
" <td>0.783</td>\n",
" <td>0.843</td>\n",
" <td>0.750</td>\n",
" <td></td>\n",
" <td></td>\n",
" <td></td>\n",
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" <td>0.670</td>\n",
" <td>4.0</td>\n",
" <td>0.848</td>\n",
" <td>5.0</td>\n",
" <td>0.91</td>\n",
" <td>0.8</td>\n",
" <td>1192.0</td>\n",
" <td>0.194</td>\n",
" <td>0.848</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>RandomForestClassifier (sklearn)</td>\n",
" <td>1192</td>\n",
" <td></td>\n",
" <td>0.874</td>\n",
" <td>0.757</td>\n",
" <td>0.863</td>\n",
" <td>0.715</td>\n",
" <td>0.872</td>\n",
" <td>0.761</td>\n",
" <td>0.839</td>\n",
" <td>0.724</td>\n",
" <td></td>\n",
" <td></td>\n",
" <td></td>\n",
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" <td>RandomForestClassifier (Concrete ML)</td>\n",
" <td>1192</td>\n",
" <td>3.0</td>\n",
" <td>0.841</td>\n",
" <td>0.629</td>\n",
" <td>0.890</td>\n",
" <td>0.606</td>\n",
" <td>0.840</td>\n",
" <td>0.645</td>\n",
" <td>0.836</td>\n",
" <td>0.618</td>\n",
" <td>4.0</td>\n",
" <td>0.841</td>\n",
" <td>5.0</td>\n",
" <td>1.557</td>\n",
" <td>0.6</td>\n",
" <td>0.84</td>\n",
" <td>1192.0</td>\n",
" <td>0.295</td>\n",
" <td>0.84</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
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" <td>0.619</td>\n",
" <td>4.0</td>\n",
" <td>0.841</td>\n",
" <td>5.0</td>\n",
" <td>1.414</td>\n",
" <td>0.8</td>\n",
" <td>1192.0</td>\n",
" <td>0.226</td>\n",
" <td>0.841</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
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" Accuracy (clear) F1 (clear) Precision (clear) Recall (clear) \\\n",
"0 0.824 0.627 0.748 0.606 \n",
"1 0.824 0.627 0.748 0.606 \n",
"2 0.881 0.788 0.842 0.757 \n",
"2 0.879 0.783 0.843 0.750 \n",
"3 0.852 0.705 0.818 0.670 \n",
"4 0.874 0.757 0.863 0.715 \n",
"5 0.841 0.629 0.890 0.606 \n",
"4 0.872 0.761 0.839 0.724 \n",
"5 0.840 0.645 0.836 0.618 \n",
"6 0.888 0.806 0.846 0.780 \n",
"7 0.841 0.647 0.848 0.619 \n",
"\n",
" max bit-width Accuracy (simulated) FHE samples \\\n",
"0 \n",
"1 18.0 0.824 1192.0 \n",
"2 \n",
"3 4.0 0.848 5.0 \n",
"3 4.0 0.848 1192.0 \n",
"4 \n",
"5 4.0 0.841 5.0 \n",
"5 4.0 0.84 1192.0 \n",
"6 \n",
"7 4.0 0.841 5.0 \n",
"7 4.0 0.841 1192.0 \n",
"\n",
" FHE execution time (second per sample) Accuracy (FHE) \n",
"0 \n",
"1 0.0 0.824 \n",
"1 0.001 0.824 \n",
"2 \n",
"3 0.91 0.8 \n",
"3 0.194 0.848 \n",
"4 \n",
"5 1.557 0.6 \n",
"5 0.295 0.84 \n",
"6 \n",
"7 1.414 0.8 "
"7 0.226 0.841 "
]
},
"execution_count": 14,
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
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