From 64f071ac56baa3a5c073e6d1de0429d6d829dd2b Mon Sep 17 00:00:00 2001 From: ujijrujijr Date: Fri, 15 Nov 2024 21:26:00 +0400 Subject: [PATCH] =?UTF-8?q?=D0=9B=D0=B0=D0=B1=204=201?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- lab_4/Lab4.ipynb | 154 ++++++++++------------------------------------- 1 file changed, 31 insertions(+), 123 deletions(-) diff --git a/lab_4/Lab4.ipynb b/lab_4/Lab4.ipynb index 44f818e..3958c9e 100644 --- a/lab_4/Lab4.ipynb +++ b/lab_4/Lab4.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 29, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -51,7 +51,7 @@ }, { "cell_type": "code", - "execution_count": 68, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -115,7 +115,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -172,7 +172,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -228,97 +228,6 @@ "Гребневая регрессия показала почти такие же результаты, что и линейная регрессия" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "MLP" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\AI labs\\aimenv\\Lib\\site-packages\\sklearn\\neural_network\\_multilayer_perceptron.py:690: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (500) reached and the optimization hasn't converged yet.\n", - " warnings.warn(\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Лучшие гиперпараметры: {'model__activation': 'relu', 'model__alpha': 0.0001, 'preprocessing': StandardScaler()}\n", - "Cредняя абсолютная ошибка (MAE) = 19363.27371661712\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\AI labs\\aimenv\\Lib\\site-packages\\sklearn\\neural_network\\_multilayer_perceptron.py:690: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (500) reached and the optimization hasn't converged yet.\n", - " warnings.warn(\n", - "c:\\AI labs\\aimenv\\Lib\\site-packages\\sklearn\\neural_network\\_multilayer_perceptron.py:690: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (500) reached and the optimization hasn't converged yet.\n", - " warnings.warn(\n", - "c:\\AI labs\\aimenv\\Lib\\site-packages\\sklearn\\neural_network\\_multilayer_perceptron.py:690: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (500) reached and the optimization hasn't converged yet.\n", - " warnings.warn(\n", - "c:\\AI labs\\aimenv\\Lib\\site-packages\\sklearn\\neural_network\\_multilayer_perceptron.py:697: UserWarning: Training interrupted by user.\n", - " warnings.warn(\"Training interrupted by user.\")\n", - "c:\\AI labs\\aimenv\\Lib\\site-packages\\sklearn\\neural_network\\_multilayer_perceptron.py:690: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (500) reached and the optimization hasn't converged yet.\n", - " warnings.warn(\n", - "c:\\AI labs\\aimenv\\Lib\\site-packages\\sklearn\\neural_network\\_multilayer_perceptron.py:690: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (500) reached and the optimization hasn't converged yet.\n", - " warnings.warn(\n", - "c:\\AI labs\\aimenv\\Lib\\site-packages\\sklearn\\neural_network\\_multilayer_perceptron.py:697: UserWarning: Training interrupted by user.\n", - " warnings.warn(\"Training interrupted by user.\")\n", - "c:\\AI labs\\aimenv\\Lib\\site-packages\\sklearn\\neural_network\\_multilayer_perceptron.py:690: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (500) reached and the optimization hasn't converged yet.\n", - " warnings.warn(\n", - "c:\\AI labs\\aimenv\\Lib\\site-packages\\sklearn\\neural_network\\_multilayer_perceptron.py:690: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (500) reached and the optimization hasn't converged yet.\n", - " warnings.warn(\n", - "c:\\AI labs\\aimenv\\Lib\\site-packages\\sklearn\\neural_network\\_multilayer_perceptron.py:690: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (500) reached and the optimization hasn't converged yet.\n", - " warnings.warn(\n" - ] - } - ], - "source": [ - "# Создание пайплайна для модели MLP\n", - "pipeline_mlp = Pipeline([\n", - " ('preprocessing', StandardScaler()), # По умолчанию используем StandardScaler\n", - " ('model', MLPRegressor(random_state=42, max_iter=500)) # MLP модель с фиксированным random_state и количеством итераций\n", - "])\n", - "\n", - "# Определение сетки гиперпараметров для перебора\n", - "param_grid = {\n", - " 'preprocessing': [StandardScaler(), preproc.MinMaxScaler()], # Разные способы масштабирования признаков\n", - " 'model__hidden_layer_sizes': [(50,), (100,)], # Разные конфигурации слоев\n", - " #'model__activation': ['relu', 'tanh'],\n", - " 'model__alpha': [0.0001, 0.001], # Разные значения регуляризации\n", - "}\n", - "\n", - "# Создание объекта GridSearchCV для поиска лучших гиперпараметров\n", - "grid_search = GridSearchCV(pipeline_mlp, param_grid, cv=5, scoring='neg_root_mean_squared_error', n_jobs=-1, verbose=0)\n", - "\n", - "# Обучение модели с перебором гиперпараметров\n", - "grid_search.fit(X_train, y_train)\n", - "\n", - "print(\"Лучшие гиперпараметры: \", grid_search.best_params_)\n", - "\n", - "# Лучшая модель MLP\n", - "best_model = grid_search.best_estimator_\n", - "\n", - "y_pred = best_model.predict(X_test)\n", - "\n", - "print(f'Cредняя абсолютная ошибка (MAE) = {mean_absolute_error(y_test, y_pred)}')\n", - "\n", - "# Расчет смещения и дисперсии\n", - "mse, bias, variance = bias_variance_decomp(best_model, X_train.values, y_train.values, X_test.values, y_test.values, loss='mse', num_rounds=200, random_seed=123)\n", - "print(\"Смещение: \", bias)\n", - "print(\"Дисперсия: \", variance)" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -328,17 +237,17 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Лучшие гиперпараметры: {'model__learning_rate': 0.1, 'model__max_depth': 3, 'model__n_estimators': 100, 'preprocessing': None}\n", - "Cредняя абсолютная ошибка (MAE) = 18905.987766249527\n", - "Смещение: -3.2312558004292335\n", - "Дисперсия: 162393666.8715257\n" + "Лучшие гиперпараметры: {'model__learning_rate': 0.1, 'model__max_depth': 3, 'model__n_estimators': 100, 'preprocessing': MaxAbsScaler()}\n", + "Cредняя абсолютная ошибка (MAE) = 18908.8586008017\n", + "Смещение: -4.040641051222239\n", + "Дисперсия: 162335195.36332467\n" ] } ], @@ -428,7 +337,7 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -484,7 +393,7 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -492,13 +401,13 @@ "output_type": "stream", "text": [ "Лучшие гиперпараметры: {'classifier__C': 0.1, 'classifier__penalty': 'l1', 'classifier__solver': 'liblinear'}\n", - "ROC у логистической регрессии = 0.8670867396912991\n", + "ROC у логистической регрессии = 0.8670873798838691\n", "Точность = 0.8591628959276018\n" ] }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -520,8 +429,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "Смещение: 0.852988221106613\n", - "Дисперсия: 0.006548654676149887\n" + "Смещение: 0.8529941124698746\n", + "Дисперсия: 0.0065558753718589465\n" ] } ], @@ -599,21 +508,29 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\AI labs\\aimenv\\Lib\\site-packages\\numpy\\ma\\core.py:2881: RuntimeWarning: invalid value encountered in cast\n", + " _data = np.array(data, dtype=dtype, copy=copy,\n" + ] + }, { "name": "stdout", "output_type": "stream", "text": [ - "Лучшие гиперпараметры: {'classifier__max_depth': 20, 'classifier__min_samples_leaf': 4, 'classifier__n_estimators': 200}\n", - "ROC у метода случайного леса = 0.9081081989462431\n", - "Точность = 0.8718891402714932\n" + "Лучшие гиперпараметры: {'classifier__max_depth': 10, 'classifier__min_samples_leaf': 4, 'classifier__n_estimators': 200}\n", + "ROC у метода случайного леса = 0.9009594886141752\n", + "Точность = 0.8721719457013575\n" ] }, { "data": { - "image/png": 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", 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", 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" ] @@ -621,18 +538,9 @@ "metadata": {}, "output_type": "display_data" }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Матрица ошибок:\n", - "[[1329 397]\n", - " [ 56 1754]]\n" - ] - }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -644,8 +552,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "Смещение: 0.8686998314031272\n", - "Дисперсия: 0.003095104102985812\n" + "Смещение: 0.8684929985365014\n", + "Дисперсия: 0.003137100883428496\n" ] } ],