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feat(lab-4): make grid search

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Zakharov_Rostislav 2024-12-14 15:01:59 +04:00
parent 83031d3667
commit 338e0b0ad8
2 changed files with 386 additions and 520 deletions
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notebooks/lab4.ipynb
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notebooks/lab4_pipeline.ipynb
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@ -9,7 +9,7 @@
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@ -334,7 +334,7 @@
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@ -376,7 +376,7 @@
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@ -402,7 +402,7 @@
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@ -420,13 +420,12 @@
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{ {
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"execution_count": 39, "execution_count": 579,
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"source": [ "source": [
"columns_to_drop = [\n", "columns_to_drop = [\n",
" \"Model\",\n", " \"Model\",\n",
" # \"Manufacturer\",\n",
" \"Color\",\n", " \"Color\",\n",
" \"Doors\",\n", " \"Doors\",\n",
" \"Cylinders\",\n", " \"Cylinders\",\n",
@ -512,7 +511,7 @@
" (\"features_preprocessing\", features_preprocessing),\n", " (\"features_preprocessing\", features_preprocessing),\n",
" (\"drop_columns\", drop_columns),\n", " (\"drop_columns\", drop_columns),\n",
" ]\n", " ]\n",
")" ", memory=None)"
] ]
}, },
{ {
@ -524,7 +523,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 40, "execution_count": 580,
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{ {
@ -923,7 +922,7 @@
"[12597 rows x 83 columns]" "[12597 rows x 83 columns]"
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} }
@ -947,7 +946,7 @@
}, },
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{ {
@ -970,7 +969,7 @@
}, },
{ {
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{ {
@ -1369,7 +1368,7 @@
"[8817 rows x 82 columns]" "[8817 rows x 82 columns]"
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@ -1392,17 +1391,26 @@
}, },
{ {
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"execution_count": 43, "execution_count": 583,
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"models = {\n", "models = {\n",
" \"linear\": {\"model\": linear_model.LinearRegression(n_jobs=-1)},\n", " \"linear\": {\"model\": linear_model.LinearRegression(n_jobs=-1)},\n",
" \"ridge\": {\"model\": linear_model.RidgeCV()},\n", " \"ridge\": {\"model\": linear_model.RidgeCV()},\n",
" \"decision_tree\": {\"model\": tree.DecisionTreeRegressor(random_state=random_state)},\n", " \"decision_tree\": {\n",
" \"knn\": {\"model\": neighbors.KNeighborsRegressor(n_neighbors=7, n_jobs=-1)},\n", " \"model\": tree.DecisionTreeRegressor(max_depth=35, random_state=random_state)\n",
" \"random_forest\": {\n", " },\n",
" \"model\": ensemble.RandomForestRegressor(random_state=random_state, n_jobs=-1)\n", " \"knn\": {\"model\": neighbors.KNeighborsRegressor(n_neighbors=6, n_jobs=-1)},\n",
" \"random_forest1\": {\n",
" \"model\": ensemble.RandomForestRegressor(\n",
" random_state=random_state, n_jobs=-1,\n",
" )\n",
" },\n",
" \"random_forest2\": {\n",
" \"model\": ensemble.RandomForestRegressor(\n",
" random_state=random_state, n_jobs=-1, max_depth=17, n_estimators=75\n",
" )\n",
" },\n", " },\n",
"}" "}"
] ]
@ -1416,7 +1424,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 44, "execution_count": 584,
"metadata": {}, "metadata": {},
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{ {
@ -1467,7 +1475,24 @@
"text": [ "text": [
"Model: decision_tree\n", "Model: decision_tree\n",
"Model: knn\n", "Model: knn\n",
"Model: random_forest\n" "Model: random_forest1\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 RandomForestRegressor 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 RandomForestRegressor was fitted without feature names\n",
" warnings.warn(\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Model: random_forest2\n"
] ]
}, },
{ {
@ -1517,112 +1542,135 @@
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@ -1638,13 +1686,13 @@
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@ -1666,7 +1714,7 @@
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@ -1736,7 +1784,7 @@
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@ -1876,16 +1924,16 @@
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"execution_count": 47, "execution_count": 587,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
@ -1907,7 +1955,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 48, "execution_count": 588,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
@ -1977,7 +2025,7 @@
" <td>-1.037578</td>\n", " <td>-1.037578</td>\n",
" <td>1.353782</td>\n", " <td>1.353782</td>\n",
" <td>-1.316082</td>\n", " <td>-1.316082</td>\n",
" <td>-1.213541</td>\n", " <td>-1.121364</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>850</th>\n", " <th>850</th>\n",
@ -2001,7 +2049,7 @@
" <td>0.474671</td>\n", " <td>0.474671</td>\n",
" <td>1.353782</td>\n", " <td>1.353782</td>\n",
" <td>-1.489657</td>\n", " <td>-1.489657</td>\n",
" <td>-0.753720</td>\n", " <td>-0.675715</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>3126</th>\n", " <th>3126</th>\n",
@ -2025,7 +2073,7 @@
" <td>-0.762623</td>\n", " <td>-0.762623</td>\n",
" <td>-0.673150</td>\n", " <td>-0.673150</td>\n",
" <td>0.771343</td>\n", " <td>0.771343</td>\n",
" <td>0.798361</td>\n", " <td>0.795271</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>11638</th>\n", " <th>11638</th>\n",
@ -2049,7 +2097,7 @@
" <td>-0.762623</td>\n", " <td>-0.762623</td>\n",
" <td>-0.673150</td>\n", " <td>-0.673150</td>\n",
" <td>-0.679792</td>\n", " <td>-0.679792</td>\n",
" <td>-0.531793</td>\n", " <td>-0.537321</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>4367</th>\n", " <th>4367</th>\n",
@ -2073,7 +2121,7 @@
" <td>-0.487669</td>\n", " <td>-0.487669</td>\n",
" <td>0.340316</td>\n", " <td>0.340316</td>\n",
" <td>-0.173638</td>\n", " <td>-0.173638</td>\n",
" <td>-0.322582</td>\n", " <td>-0.317791</td>\n",
" </tr>\n", " </tr>\n",
" </tbody>\n", " </tbody>\n",
"</table>\n", "</table>\n",
@ -2117,16 +2165,16 @@
"4367 0.0 0.719981 -0.441003 -0.487669 0.340316 \n", "4367 0.0 0.719981 -0.441003 -0.487669 0.340316 \n",
"\n", "\n",
" Price PricePred \n", " Price PricePred \n",
"7472 -1.316082 -1.213541 \n", "7472 -1.316082 -1.121364 \n",
"850 -1.489657 -0.753720 \n", "850 -1.489657 -0.675715 \n",
"3126 0.771343 0.798361 \n", "3126 0.771343 0.795271 \n",
"11638 -0.679792 -0.531793 \n", "11638 -0.679792 -0.537321 \n",
"4367 -0.173638 -0.322582 \n", "4367 -0.173638 -0.317791 \n",
"\n", "\n",
"[5 rows x 84 columns]" "[5 rows x 84 columns]"
] ]
}, },
"execution_count": 48, "execution_count": 588,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }