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feat(lab-4): finish pipeline

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Zakharov_Rostislav 2024-12-14 12:43:37 +04:00
parent 5a6a48e622
commit 83031d3667
2 changed files with 1481 additions and 609 deletions
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notebooks/lab4.ipynb
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@ -13,7 +13,7 @@
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@ -1308,6 +1308,15 @@
" i += 1"
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"df.to_csv(\"../data/car-price-prediction.csv\")"
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@ -1458,7 +1467,7 @@
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@ -1876,12 +1885,12 @@
"cell_type": "markdown",
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"source": [
"#### Разбиение на выборки\n"
"#### Разбиение на выборки"
]
},
{
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@ -1906,7 +1915,7 @@
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@ -2305,7 +2314,7 @@
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@ -2328,7 +2337,7 @@
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@ -2348,12 +2357,12 @@
" # },\n",
" \"ridge\": {\"model\": linear_model.RidgeCV()},\n",
" \"decision_tree\": {\n",
" \"model\": tree.DecisionTreeRegressor(max_depth=7, random_state=random_state)\n",
" \"model\": tree.DecisionTreeRegressor(random_state=random_state)\n",
" },\n",
" \"knn\": {\"model\": neighbors.KNeighborsRegressor(n_neighbors=7, n_jobs=-1)},\n",
" \"random_forest\": {\n",
" \"model\": ensemble.RandomForestRegressor(\n",
" max_depth=7, random_state=random_state, n_jobs=-1\n",
" random_state=random_state, n_jobs=-1\n",
" )\n",
" },\n",
"}"
@ -2368,7 +2377,7 @@
},
{
"cell_type": "code",
"execution_count": 56,
"execution_count": 560,
"metadata": {},
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{
@ -2408,8 +2417,6 @@
"c:\\Users\\user\\source\\repos\\mai_pi-33_zakharov\\.venv\\Lib\\site-packages\\sklearn\\base.py:486: UserWarning: X has feature names, but DecisionTreeRegressor was fitted without feature names\n",
" warnings.warn(\n",
"c:\\Users\\user\\source\\repos\\mai_pi-33_zakharov\\.venv\\Lib\\site-packages\\sklearn\\base.py:486: UserWarning: X has feature names, but KNeighborsRegressor was fitted without feature names\n",
" warnings.warn(\n",
"c:\\Users\\user\\source\\repos\\mai_pi-33_zakharov\\.venv\\Lib\\site-packages\\sklearn\\base.py:486: UserWarning: X has feature names, but KNeighborsRegressor was fitted without feature names\n",
" warnings.warn(\n"
]
},
@ -2418,7 +2425,21 @@
"output_type": "stream",
"text": [
"Model: decision_tree\n",
"Model: knn\n",
"Model: knn\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"c:\\Users\\user\\source\\repos\\mai_pi-33_zakharov\\.venv\\Lib\\site-packages\\sklearn\\base.py:486: UserWarning: X has feature names, but KNeighborsRegressor was fitted without feature names\n",
" warnings.warn(\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Model: random_forest\n"
]
},
@ -2469,116 +2490,112 @@
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@ -2692,7 +2709,7 @@
" <td>-0.487669</td>\n",
" <td>-0.673150</td>\n",
" <td>0.144553</td>\n",
" <td>0.557766</td>\n",
" <td>0.603431</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14145</th>\n",
@ -2716,7 +2733,7 @@
" <td>-0.900100</td>\n",
" <td>-1.179883</td>\n",
" <td>-0.665312</td>\n",
" <td>-0.603334</td>\n",
" <td>-0.619034</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8943</th>\n",
@ -2740,7 +2757,7 @@
" <td>-0.487669</td>\n",
" <td>0.847049</td>\n",
" <td>-0.144678</td>\n",
" <td>-0.355422</td>\n",
" <td>-0.179776</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17889</th>\n",
@ -2764,7 +2781,7 @@
" <td>0.474671</td>\n",
" <td>-0.419784</td>\n",
" <td>-0.462869</td>\n",
" <td>-0.746737</td>\n",
" <td>-0.566201</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9515</th>\n",
@ -2788,7 +2805,7 @@
" <td>0.474671</td>\n",
" <td>-0.673150</td>\n",
" <td>2.765339</td>\n",
" <td>2.375842</td>\n",
" <td>2.675833</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
@ -2832,16 +2849,16 @@
"9515 0.0 1.695495 1.510056 0.474671 -0.673150 \n",
"\n",
" Price PricePred \n",
"15146 0.144553 0.557766 \n",
"14145 -0.665312 -0.603334 \n",
"8943 -0.144678 -0.355422 \n",
"17889 -0.462869 -0.746737 \n",
"9515 2.765339 2.375842 \n",
"15146 0.144553 0.603431 \n",
"14145 -0.665312 -0.619034 \n",
"8943 -0.144678 -0.179776 \n",
"17889 -0.462869 -0.566201 \n",
"9515 2.765339 2.675833 \n",
"\n",
"[5 rows x 84 columns]"
]
},
"execution_count": 59,
"execution_count": 563,
"metadata": {},
"output_type": "execute_result"
}
@ -2863,7 +2880,7 @@
},
{
"cell_type": "code",
"execution_count": 60,
"execution_count": 564,
"metadata": {},
"outputs": [
{
@ -2933,7 +2950,7 @@
" <td>-1.037578</td>\n",
" <td>1.353782</td>\n",
" <td>-1.316082</td>\n",
" <td>-0.960788</td>\n",
" <td>-1.213541</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1121</th>\n",
@ -2957,7 +2974,7 @@
" <td>0.474671</td>\n",
" <td>1.353782</td>\n",
" <td>-1.489657</td>\n",
" <td>-0.235577</td>\n",
" <td>-0.753720</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4355</th>\n",
@ -2981,7 +2998,7 @@
" <td>-0.762623</td>\n",
" <td>-0.673150</td>\n",
" <td>0.771343</td>\n",
" <td>0.887499</td>\n",
" <td>0.798361</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17702</th>\n",
@ -3005,7 +3022,7 @@
" <td>-0.762623</td>\n",
" <td>-0.673150</td>\n",
" <td>-0.679792</td>\n",
" <td>-0.579671</td>\n",
" <td>-0.531793</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6167</th>\n",
@ -3029,7 +3046,7 @@
" <td>-0.487669</td>\n",
" <td>0.340316</td>\n",
" <td>-0.173638</td>\n",
" <td>-0.471104</td>\n",
" <td>-0.322582</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
@ -3073,16 +3090,16 @@
"6167 0.0 0.719981 -0.441003 -0.487669 0.340316 \n",
"\n",
" Price PricePred \n",
"10968 -1.316082 -0.960788 \n",
"1121 -1.489657 -0.235577 \n",
"4355 0.771343 0.887499 \n",
"17702 -0.679792 -0.579671 \n",
"6167 -0.173638 -0.471104 \n",
"10968 -1.316082 -1.213541 \n",
"1121 -1.489657 -0.753720 \n",
"4355 0.771343 0.798361 \n",
"17702 -0.679792 -0.531793 \n",
"6167 -0.173638 -0.322582 \n",
"\n",
"[5 rows x 84 columns]"
]
},
"execution_count": 60,
"execution_count": 564,
"metadata": {},
"output_type": "execute_result"
}

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