From a7281f48cab3bf7dbe346408ad823e72e18278a7 Mon Sep 17 00:00:00 2001
From: buckl113 <39534448+buckl113@users.noreply.github.com>
Date: Fri, 4 Mar 2022 15:45:28 -0500
Subject: [PATCH] Delete OldClassification.ipynb
---
Auto-SKLearn_AutoML/OldClassification.ipynb | 506 --------------------
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diff --git a/Auto-SKLearn_AutoML/OldClassification.ipynb b/Auto-SKLearn_AutoML/OldClassification.ipynb
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-{
- "cells": [
- {
- "cell_type": "markdown",
- "id": "8459055e",
- "metadata": {},
- "source": [
- "# Classification\n",
- "\n",
- "Example coming from [here](https://automl.github.io/auto-sklearn/master/examples/20_basic/example_classification.html#sphx-glr-examples-20-basic-example-classification-py)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 12,
- "id": "c69433ce",
- "metadata": {},
- "outputs": [],
- "source": [
- "# imports\n",
- "from pprint import pprint\n",
- "\n",
- "import sklearn.datasets\n",
- "import sklearn.metrics\n",
- "import pickle\n",
- "\n",
- "import autosklearn.classification"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 2,
- "id": "2b1e1930",
- "metadata": {},
- "outputs": [],
- "source": [
- "# split the dataset\n",
- "X, y = sklearn.datasets.load_breast_cancer(return_X_y=True)\n",
- "X_train, X_test, y_train, y_test = \\\n",
- " sklearn.model_selection.train_test_split(X, y, random_state=1)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 3,
- "id": "15e5f821",
- "metadata": {},
- "outputs": [
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "/mnt/home/buckl113/anaconda3/envs/auto_sklearn_env/lib/python3.9/site-packages/autosklearn/metalearning/metalearning/meta_base.py:68: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
- " self.metafeatures = self.metafeatures.append(metafeatures)\n",
- "/mnt/home/buckl113/anaconda3/envs/auto_sklearn_env/lib/python3.9/site-packages/autosklearn/metalearning/metalearning/meta_base.py:72: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
- " self.algorithm_runs[metric].append(runs)\n"
- ]
- },
- {
- "data": {
- "text/plain": [
- "AutoSklearnClassifier(per_run_time_limit=30, time_left_for_this_task=120,\n",
- " tmp_folder='/tmp/autosklearn_classification_example_tmp')"
- ]
- },
- "execution_count": 3,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# Fit the classifier\n",
- "automl = autosklearn.classification.AutoSklearnClassifier(\n",
- " time_left_for_this_task=120,\n",
- " per_run_time_limit=30,\n",
- " tmp_folder='/tmp/autosklearn_classification_example_tmp',\n",
- ")\n",
- "automl.fit(X_train, y_train, dataset_name='breast_cancer')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 4,
- "id": "2d4e4d9f",
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " rank ensemble_weight type cost duration\n",
- "model_id \n",
- "7 1 0.08 extra_trees 0.014184 2.037889\n",
- "16 2 0.04 gradient_boosting 0.021277 1.420893\n",
- "2 3 0.02 random_forest 0.028369 2.230037\n",
- "3 4 0.02 mlp 0.028369 2.112077\n",
- "26 5 0.04 extra_trees 0.028369 2.946061\n",
- "6 6 0.06 mlp 0.028369 1.590191\n",
- "22 7 0.04 gradient_boosting 0.028369 1.567744\n",
- "10 8 0.06 random_forest 0.028369 2.733248\n",
- "11 9 0.04 random_forest 0.028369 3.057115\n",
- "19 10 0.02 extra_trees 0.028369 3.806663\n",
- "13 11 0.04 gradient_boosting 0.028369 2.005229\n",
- "14 12 0.04 mlp 0.028369 3.018905\n",
- "18 13 0.02 random_forest 0.035461 2.909402\n",
- "17 14 0.02 gradient_boosting 0.035461 2.358046\n",
- "12 15 0.02 gradient_boosting 0.035461 2.129865\n",
- "5 16 0.10 random_forest 0.035461 2.896027\n",
- "9 17 0.02 extra_trees 0.042553 2.569632\n",
- "25 18 0.02 adaboost 0.042553 2.708276\n",
- "27 19 0.04 extra_trees 0.042553 2.473708\n",
- "23 20 0.06 mlp 0.049645 3.621525\n",
- "32 21 0.04 extra_trees 0.063830 2.219691\n",
- "24 22 0.06 random_forest 0.070922 2.306794\n",
- "20 23 0.02 passive_aggressive 0.078014 0.973551\n",
- "30 24 0.02 adaboost 0.078014 1.630544\n",
- "29 25 0.06 gaussian_nb 0.141844 1.153570\n"
- ]
- }
- ],
- "source": [
- "# Different Models run by autosklearn\n",
- "print(automl.leaderboard())"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 5,
- "id": "72e580e7",
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "{ 2: { 'balancing': Balancing(random_state=1),\n",
- " 'classifier': <autosklearn.pipeline.components.classification.ClassifierChoice object at 0x2ad3ac8f13d0>,\n",
- " 'cost': 0.028368794326241176,\n",
- " 'data_preprocessor': <autosklearn.pipeline.components.data_preprocessing.DataPreprocessorChoice object at 0x2ad3ac688a90>,\n",
- " 'ensemble_weight': 0.02,\n",
- " 'feature_preprocessor': <autosklearn.pipeline.components.feature_preprocessing.FeaturePreprocessorChoice object at 0x2ad3ac8f1310>,\n",
- " 'model_id': 2,\n",
- " 'rank': 3,\n",
- " 'sklearn_classifier': RandomForestClassifier(max_features=5, n_estimators=512, n_jobs=1,\n",
- " random_state=1, warm_start=True)},\n",
- " 3: { 'balancing': Balancing(random_state=1),\n",
- " 'classifier': <autosklearn.pipeline.components.classification.ClassifierChoice object at 0x2ad3ac95b820>,\n",
- " 'cost': 0.028368794326241176,\n",
- " 'data_preprocessor': <autosklearn.pipeline.components.data_preprocessing.DataPreprocessorChoice object at 0x2ad3ac6541f0>,\n",
- " 'ensemble_weight': 0.02,\n",
- " 'feature_preprocessor': <autosklearn.pipeline.components.feature_preprocessing.FeaturePreprocessorChoice object at 0x2ad3ac95b6a0>,\n",
- " 'model_id': 3,\n",
- " 'rank': 4,\n",
- " 'sklearn_classifier': MLPClassifier(activation='tanh', alpha=0.0001363185819149026, beta_1=0.999,\n",
- " beta_2=0.9, early_stopping=True,\n",
- " hidden_layer_sizes=(115, 115, 115),\n",
- " learning_rate_init=0.00018009776276177523, max_iter=32,\n",
- " n_iter_no_change=32, random_state=1, verbose=0, warm_start=True)},\n",
- " 5: { 'balancing': Balancing(random_state=1, strategy='weighting'),\n",
- " 'classifier': <autosklearn.pipeline.components.classification.ClassifierChoice object at 0x2ad3b0500820>,\n",
- " 'cost': 0.03546099290780147,\n",
- " 'data_preprocessor': <autosklearn.pipeline.components.data_preprocessing.DataPreprocessorChoice object at 0x2ad3affaeeb0>,\n",
- " 'ensemble_weight': 0.1,\n",
- " 'feature_preprocessor': <autosklearn.pipeline.components.feature_preprocessing.FeaturePreprocessorChoice object at 0x2ad3b034d700>,\n",
- " 'model_id': 5,\n",
- " 'rank': 13,\n",
- " 'sklearn_classifier': RandomForestClassifier(criterion='entropy', max_features=3, min_samples_leaf=2,\n",
- " n_estimators=512, n_jobs=1, random_state=1,\n",
- " warm_start=True)},\n",
- " 6: { 'balancing': Balancing(random_state=1, strategy='weighting'),\n",
- " 'classifier': <autosklearn.pipeline.components.classification.ClassifierChoice object at 0x2ad3af75d4c0>,\n",
- " 'cost': 0.028368794326241176,\n",
- " 'data_preprocessor': <autosklearn.pipeline.components.data_preprocessing.DataPreprocessorChoice object at 0x2ad3ac8477c0>,\n",
- " 'ensemble_weight': 0.06,\n",
- " 'feature_preprocessor': <autosklearn.pipeline.components.feature_preprocessing.FeaturePreprocessorChoice object at 0x2ad3af75d3a0>,\n",
- " 'model_id': 6,\n",
- " 'rank': 5,\n",
- " 'sklearn_classifier': MLPClassifier(alpha=0.0017940473175767063, beta_1=0.999, beta_2=0.9,\n",
- " early_stopping=True, hidden_layer_sizes=(101, 101),\n",
- " learning_rate_init=0.0004684917334431039, max_iter=32,\n",
- " n_iter_no_change=32, random_state=1, verbose=0, warm_start=True)},\n",
- " 7: { 'balancing': Balancing(random_state=1),\n",
- " 'classifier': <autosklearn.pipeline.components.classification.ClassifierChoice object at 0x2ad3ac829e50>,\n",
- " 'cost': 0.014184397163120588,\n",
- " 'data_preprocessor': <autosklearn.pipeline.components.data_preprocessing.DataPreprocessorChoice object at 0x2ad3ac1c6c40>,\n",
- " 'ensemble_weight': 0.08,\n",
- " 'feature_preprocessor': <autosklearn.pipeline.components.feature_preprocessing.FeaturePreprocessorChoice object at 0x2ad3ac829ee0>,\n",
- " 'model_id': 7,\n",
- " 'rank': 1,\n",
- " 'sklearn_classifier': ExtraTreesClassifier(max_features=34, min_samples_leaf=3, min_samples_split=11,\n",
- " n_estimators=512, n_jobs=1, random_state=1,\n",
- " warm_start=True)},\n",
- " 9: { 'balancing': Balancing(random_state=1, strategy='weighting'),\n",
- " 'classifier': <autosklearn.pipeline.components.classification.ClassifierChoice object at 0x2ad3afaa6100>,\n",
- " 'cost': 0.04255319148936165,\n",
- " 'data_preprocessor': <autosklearn.pipeline.components.data_preprocessing.DataPreprocessorChoice object at 0x2ad3b0717b80>,\n",
- " 'ensemble_weight': 0.02,\n",
- " 'feature_preprocessor': <autosklearn.pipeline.components.feature_preprocessing.FeaturePreprocessorChoice object at 0x2ad3b0809c10>,\n",
- " 'model_id': 9,\n",
- " 'rank': 17,\n",
- " 'sklearn_classifier': ExtraTreesClassifier(max_features=9, min_samples_split=10, n_estimators=512,\n",
- " n_jobs=1, random_state=1, warm_start=True)},\n",
- " 10: { 'balancing': Balancing(random_state=1, strategy='weighting'),\n",
- " 'classifier': <autosklearn.pipeline.components.classification.ClassifierChoice object at 0x2ad3af765670>,\n",
- " 'cost': 0.028368794326241176,\n",
- " 'data_preprocessor': <autosklearn.pipeline.components.data_preprocessing.DataPreprocessorChoice object at 0x2ad3ac75f1c0>,\n",
- " 'ensemble_weight': 0.06,\n",
- " 'feature_preprocessor': <autosklearn.pipeline.components.feature_preprocessing.FeaturePreprocessorChoice object at 0x2ad3af765550>,\n",
- " 'model_id': 10,\n",
- " 'rank': 6,\n",
- " 'sklearn_classifier': RandomForestClassifier(criterion='entropy', max_features=4, min_samples_split=6,\n",
- " n_estimators=512, n_jobs=1, random_state=1,\n",
- " warm_start=True)},\n",
- " 11: { 'balancing': Balancing(random_state=1),\n",
- " 'classifier': <autosklearn.pipeline.components.classification.ClassifierChoice object at 0x2ad3af85dac0>,\n",
- " 'cost': 0.028368794326241176,\n",
- " 'data_preprocessor': <autosklearn.pipeline.components.data_preprocessing.DataPreprocessorChoice object at 0x2ad3ae0ae9a0>,\n",
- " 'ensemble_weight': 0.04,\n",
- " 'feature_preprocessor': <autosklearn.pipeline.components.feature_preprocessing.FeaturePreprocessorChoice object at 0x2ad3af85d940>,\n",
- " 'model_id': 11,\n",
- " 'rank': 7,\n",
- " 'sklearn_classifier': RandomForestClassifier(criterion='entropy', max_features=23, min_samples_leaf=7,\n",
- " n_estimators=512, n_jobs=1, random_state=1,\n",
- " warm_start=True)},\n",
- " 12: { 'balancing': Balancing(random_state=1),\n",
- " 'classifier': <autosklearn.pipeline.components.classification.ClassifierChoice object at 0x2ad3b04ebca0>,\n",
- " 'cost': 0.03546099290780147,\n",
- " 'data_preprocessor': <autosklearn.pipeline.components.data_preprocessing.DataPreprocessorChoice object at 0x2ad3b0045ca0>,\n",
- " 'ensemble_weight': 0.02,\n",
- " 'feature_preprocessor': <autosklearn.pipeline.components.feature_preprocessing.FeaturePreprocessorChoice object at 0x2ad3b04eb820>,\n",
- " 'model_id': 12,\n",
- " 'rank': 14,\n",
- " 'sklearn_classifier': HistGradientBoostingClassifier(early_stopping=True,\n",
- " l2_regularization=0.005326508887463406,\n",
- " learning_rate=0.060800813211425456, max_iter=512,\n",
- " max_leaf_nodes=6, min_samples_leaf=5,\n",
- " n_iter_no_change=5, random_state=1,\n",
- " validation_fraction=None, warm_start=True)},\n",
- " 13: { 'balancing': Balancing(random_state=1, strategy='weighting'),\n",
- " 'classifier': <autosklearn.pipeline.components.classification.ClassifierChoice object at 0x2ad3afa53d60>,\n",
- " 'cost': 0.028368794326241176,\n",
- " 'data_preprocessor': <autosklearn.pipeline.components.data_preprocessing.DataPreprocessorChoice object at 0x2ad3af75db20>,\n",
- " 'ensemble_weight': 0.04,\n",
- " 'feature_preprocessor': <autosklearn.pipeline.components.feature_preprocessing.FeaturePreprocessorChoice object at 0x2ad3afa53a60>,\n",
- " 'model_id': 13,\n",
- " 'rank': 8,\n",
- " 'sklearn_classifier': HistGradientBoostingClassifier(early_stopping=False,\n",
- " l2_regularization=1.0647401999412075e-10,\n",
- " learning_rate=0.08291320147381159, max_iter=512,\n",
- " max_leaf_nodes=39, n_iter_no_change=0,\n",
- " random_state=1, validation_fraction=None,\n",
- " warm_start=True)},\n",
- " 14: { 'balancing': Balancing(random_state=1),\n",
- " 'classifier': <autosklearn.pipeline.components.classification.ClassifierChoice object at 0x2ad3affae4f0>,\n",
- " 'cost': 0.028368794326241176,\n",
- " 'data_preprocessor': <autosklearn.pipeline.components.data_preprocessing.DataPreprocessorChoice object at 0x2ad3af7a2340>,\n",
- " 'ensemble_weight': 0.04,\n",
- " 'feature_preprocessor': <autosklearn.pipeline.components.feature_preprocessing.FeaturePreprocessorChoice object at 0x2ad3afc8fc10>,\n",
- " 'model_id': 14,\n",
- " 'rank': 9,\n",
- " 'sklearn_classifier': MLPClassifier(activation='tanh', alpha=2.5550223982458062e-06, beta_1=0.999,\n",
- " beta_2=0.9, hidden_layer_sizes=(54, 54, 54),\n",
- " learning_rate_init=0.00027271287919467994, max_iter=256,\n",
- " n_iter_no_change=32, random_state=1, validation_fraction=0.0,\n",
- " verbose=0, warm_start=True)},\n",
- " 16: { 'balancing': Balancing(random_state=1, strategy='weighting'),\n",
- " 'classifier': <autosklearn.pipeline.components.classification.ClassifierChoice object at 0x2ad3ac655700>,\n",
- " 'cost': 0.021276595744680882,\n",
- " 'data_preprocessor': <autosklearn.pipeline.components.data_preprocessing.DataPreprocessorChoice object at 0x2ad3ac1c60a0>,\n",
- " 'ensemble_weight': 0.04,\n",
- " 'feature_preprocessor': <autosklearn.pipeline.components.feature_preprocessing.FeaturePreprocessorChoice object at 0x2ad3ac6552b0>,\n",
- " 'model_id': 16,\n",
- " 'rank': 2,\n",
- " 'sklearn_classifier': HistGradientBoostingClassifier(early_stopping=True,\n",
- " l2_regularization=3.387912939529945e-10,\n",
- " learning_rate=0.30755227194768237, max_iter=128,\n",
- " max_leaf_nodes=60, min_samples_leaf=39,\n",
- " n_iter_no_change=18, random_state=1,\n",
- " validation_fraction=None, warm_start=True)},\n",
- " 17: { 'balancing': Balancing(random_state=1),\n",
- " 'classifier': <autosklearn.pipeline.components.classification.ClassifierChoice object at 0x2ad3b09a1e50>,\n",
- " 'cost': 0.03546099290780147,\n",
- " 'data_preprocessor': <autosklearn.pipeline.components.data_preprocessing.DataPreprocessorChoice object at 0x2ad3b02b41f0>,\n",
- " 'ensemble_weight': 0.02,\n",
- " 'feature_preprocessor': <autosklearn.pipeline.components.feature_preprocessing.FeaturePreprocessorChoice object at 0x2ad3b072a580>,\n",
- " 'model_id': 17,\n",
- " 'rank': 15,\n",
- " 'sklearn_classifier': HistGradientBoostingClassifier(early_stopping=True,\n",
- " l2_regularization=0.4635442279519353,\n",
- " learning_rate=0.09809681787962342, max_iter=512,\n",
- " max_leaf_nodes=328, min_samples_leaf=2,\n",
- " n_iter_no_change=2, random_state=1,\n",
- " validation_fraction=None, warm_start=True)},\n",
- " 18: { 'balancing': Balancing(random_state=1, strategy='weighting'),\n",
- " 'classifier': <autosklearn.pipeline.components.classification.ClassifierChoice object at 0x2ad3b0782700>,\n",
- " 'cost': 0.03546099290780147,\n",
- " 'data_preprocessor': <autosklearn.pipeline.components.data_preprocessing.DataPreprocessorChoice object at 0x2ad3b045f0d0>,\n",
- " 'ensemble_weight': 0.02,\n",
- " 'feature_preprocessor': <autosklearn.pipeline.components.feature_preprocessing.FeaturePreprocessorChoice object at 0x2ad3b09a1610>,\n",
- " 'model_id': 18,\n",
- " 'rank': 16,\n",
- " 'sklearn_classifier': RandomForestClassifier(criterion='entropy', max_features=3, n_estimators=512,\n",
- " n_jobs=1, random_state=1, warm_start=True)},\n",
- " 19: { 'balancing': Balancing(random_state=1, strategy='weighting'),\n",
- " 'classifier': <autosklearn.pipeline.components.classification.ClassifierChoice object at 0x2ad3aff3ceb0>,\n",
- " 'cost': 0.028368794326241176,\n",
- " 'data_preprocessor': <autosklearn.pipeline.components.data_preprocessing.DataPreprocessorChoice object at 0x2ad3af9b7310>,\n",
- " 'ensemble_weight': 0.02,\n",
- " 'feature_preprocessor': <autosklearn.pipeline.components.feature_preprocessing.FeaturePreprocessorChoice object at 0x2ad3aff3ccd0>,\n",
- " 'model_id': 19,\n",
- " 'rank': 10,\n",
- " 'sklearn_classifier': ExtraTreesClassifier(criterion='entropy', max_features=448, min_samples_leaf=2,\n",
- " min_samples_split=20, n_estimators=512, n_jobs=1,\n",
- " random_state=1, warm_start=True)},\n",
- " 20: { 'balancing': Balancing(random_state=1),\n",
- " 'classifier': <autosklearn.pipeline.components.classification.ClassifierChoice object at 0x2ad3b13f13a0>,\n",
- " 'cost': 0.07801418439716312,\n",
- " 'data_preprocessor': <autosklearn.pipeline.components.data_preprocessing.DataPreprocessorChoice object at 0x2ad3b0f96070>,\n",
- " 'ensemble_weight': 0.02,\n",
- " 'feature_preprocessor': <autosklearn.pipeline.components.feature_preprocessing.FeaturePreprocessorChoice object at 0x2ad3b13f10a0>,\n",
- " 'model_id': 20,\n",
- " 'rank': 23,\n",
- " 'sklearn_classifier': PassiveAggressiveClassifier(C=0.14268277711454813, max_iter=32, random_state=1,\n",
- " tol=0.0002600768160857831, warm_start=True)},\n",
- " 22: { 'balancing': Balancing(random_state=1),\n",
- " 'classifier': <autosklearn.pipeline.components.classification.ClassifierChoice object at 0x2ad3b018d370>,\n",
- " 'cost': 0.028368794326241176,\n",
- " 'data_preprocessor': <autosklearn.pipeline.components.data_preprocessing.DataPreprocessorChoice object at 0x2ad3afc8f250>,\n",
- " 'ensemble_weight': 0.04,\n",
- " 'feature_preprocessor': <autosklearn.pipeline.components.feature_preprocessing.FeaturePreprocessorChoice object at 0x2ad3affd3370>,\n",
- " 'model_id': 22,\n",
- " 'rank': 11,\n",
- " 'sklearn_classifier': HistGradientBoostingClassifier(early_stopping=True,\n",
- " l2_regularization=8.057778875694463e-05,\n",
- " learning_rate=0.09179220974965213, max_iter=256,\n",
- " max_leaf_nodes=200, n_iter_no_change=18,\n",
- " random_state=1,\n",
- " validation_fraction=0.14295295806077554,\n",
- " warm_start=True)},\n",
- " 23: { 'balancing': Balancing(random_state=1, strategy='weighting'),\n",
- " 'classifier': <autosklearn.pipeline.components.classification.ClassifierChoice object at 0x2ad3b0f28160>,\n",
- " 'cost': 0.049645390070921946,\n",
- " 'data_preprocessor': <autosklearn.pipeline.components.data_preprocessing.DataPreprocessorChoice object at 0x2ad3b076e8b0>,\n",
- " 'ensemble_weight': 0.06,\n",
- " 'feature_preprocessor': <autosklearn.pipeline.components.feature_preprocessing.FeaturePreprocessorChoice object at 0x2ad3b0f15b20>,\n",
- " 'model_id': 23,\n",
- " 'rank': 20,\n",
- " 'sklearn_classifier': MLPClassifier(alpha=0.02847755502162456, beta_1=0.999, beta_2=0.9,\n",
- " hidden_layer_sizes=(123, 123),\n",
- " learning_rate_init=0.000421568792103947, max_iter=256,\n",
- " n_iter_no_change=32, random_state=1, validation_fraction=0.0,\n",
- " verbose=0, warm_start=True)},\n",
- " 24: { 'balancing': Balancing(random_state=1),\n",
- " 'classifier': <autosklearn.pipeline.components.classification.ClassifierChoice object at 0x2ad3b12175e0>,\n",
- " 'cost': 0.07092198581560283,\n",
- " 'data_preprocessor': <autosklearn.pipeline.components.data_preprocessing.DataPreprocessorChoice object at 0x2ad3b0eacd60>,\n",
- " 'ensemble_weight': 0.06,\n",
- " 'feature_preprocessor': <autosklearn.pipeline.components.feature_preprocessing.FeaturePreprocessorChoice object at 0x2ad3b1195910>,\n",
- " 'model_id': 24,\n",
- " 'rank': 22,\n",
- " 'sklearn_classifier': RandomForestClassifier(criterion='entropy', max_features=16, n_estimators=512,\n",
- " n_jobs=1, random_state=1, warm_start=True)},\n",
- " 25: { 'balancing': Balancing(random_state=1),\n",
- " 'classifier': <autosklearn.pipeline.components.classification.ClassifierChoice object at 0x2ad3b0d9c820>,\n",
- " 'cost': 0.04255319148936165,\n",
- " 'data_preprocessor': <autosklearn.pipeline.components.data_preprocessing.DataPreprocessorChoice object at 0x2ad3b09421c0>,\n",
- " 'ensemble_weight': 0.02,\n",
- " 'feature_preprocessor': <autosklearn.pipeline.components.feature_preprocessing.FeaturePreprocessorChoice object at 0x2ad3afab93d0>,\n",
- " 'model_id': 25,\n",
- " 'rank': 18,\n",
- " 'sklearn_classifier': AdaBoostClassifier(base_estimator=DecisionTreeClassifier(max_depth=3),\n",
- " learning_rate=0.046269426995092074, n_estimators=406,\n",
- " random_state=1)},\n",
- " 26: { 'balancing': Balancing(random_state=1),\n",
- " 'classifier': <autosklearn.pipeline.components.classification.ClassifierChoice object at 0x2ad3b01788b0>,\n",
- " 'cost': 0.028368794326241176,\n",
- " 'data_preprocessor': <autosklearn.pipeline.components.data_preprocessing.DataPreprocessorChoice object at 0x2ad3afeae8e0>,\n",
- " 'ensemble_weight': 0.04,\n",
- " 'feature_preprocessor': <autosklearn.pipeline.components.feature_preprocessing.FeaturePreprocessorChoice object at 0x2ad3b01784f0>,\n",
- " 'model_id': 26,\n",
- " 'rank': 12,\n",
- " 'sklearn_classifier': ExtraTreesClassifier(criterion='entropy', max_features=414, min_samples_leaf=2,\n",
- " min_samples_split=19, n_estimators=512, n_jobs=1,\n",
- " random_state=1, warm_start=True)},\n",
- " 27: { 'balancing': Balancing(random_state=1, strategy='weighting'),\n",
- " 'classifier': <autosklearn.pipeline.components.classification.ClassifierChoice object at 0x2ad3b0d6b9d0>,\n",
- " 'cost': 0.04255319148936165,\n",
- " 'data_preprocessor': <autosklearn.pipeline.components.data_preprocessing.DataPreprocessorChoice object at 0x2ad3b0b09b80>,\n",
- " 'ensemble_weight': 0.04,\n",
- " 'feature_preprocessor': <autosklearn.pipeline.components.feature_preprocessing.FeaturePreprocessorChoice object at 0x2ad3b0d626d0>,\n",
- " 'model_id': 27,\n",
- " 'rank': 19,\n",
- " 'sklearn_classifier': ExtraTreesClassifier(bootstrap=True, criterion='entropy', max_features=24,\n",
- " min_samples_leaf=20, min_samples_split=5, n_estimators=512,\n",
- " n_jobs=1, random_state=1, warm_start=True)},\n",
- " 29: { 'balancing': Balancing(random_state=1, strategy='weighting'),\n",
- " 'classifier': <autosklearn.pipeline.components.classification.ClassifierChoice object at 0x2ad3b17611c0>,\n",
- " 'cost': 0.14184397163120566,\n",
- " 'data_preprocessor': <autosklearn.pipeline.components.data_preprocessing.DataPreprocessorChoice object at 0x2ad3b12ac2e0>,\n",
- " 'ensemble_weight': 0.06,\n",
- " 'feature_preprocessor': <autosklearn.pipeline.components.feature_preprocessing.FeaturePreprocessorChoice object at 0x2ad3b154bdc0>,\n",
- " 'model_id': 29,\n",
- " 'rank': 25,\n",
- " 'sklearn_classifier': GaussianNB()},\n",
- " 30: { 'balancing': Balancing(random_state=1, strategy='weighting'),\n",
- " 'classifier': <autosklearn.pipeline.components.classification.ClassifierChoice object at 0x2ad3b15c7ee0>,\n",
- " 'cost': 0.07801418439716312,\n",
- " 'data_preprocessor': <autosklearn.pipeline.components.data_preprocessing.DataPreprocessorChoice object at 0x2ad3b10e40a0>,\n",
- " 'ensemble_weight': 0.02,\n",
- " 'feature_preprocessor': <autosklearn.pipeline.components.feature_preprocessing.FeaturePreprocessorChoice object at 0x2ad3b159f4f0>,\n",
- " 'model_id': 30,\n",
- " 'rank': 24,\n",
- " 'sklearn_classifier': AdaBoostClassifier(algorithm='SAMME',\n",
- " base_estimator=DecisionTreeClassifier(max_depth=7),\n",
- " learning_rate=0.02920859465461962, n_estimators=96,\n",
- " random_state=1)},\n",
- " 32: { 'balancing': Balancing(random_state=1, strategy='weighting'),\n",
- " 'classifier': <autosklearn.pipeline.components.classification.ClassifierChoice object at 0x2ad3b107ad30>,\n",
- " 'cost': 0.06382978723404253,\n",
- " 'data_preprocessor': <autosklearn.pipeline.components.data_preprocessing.DataPreprocessorChoice object at 0x2ad3adf57af0>,\n",
- " 'ensemble_weight': 0.04,\n",
- " 'feature_preprocessor': <autosklearn.pipeline.components.feature_preprocessing.FeaturePreprocessorChoice object at 0x2ad3b107a970>,\n",
- " 'model_id': 32,\n",
- " 'rank': 21,\n",
- " 'sklearn_classifier': ExtraTreesClassifier(criterion='entropy', max_features=1, min_samples_leaf=17,\n",
- " min_samples_split=4, n_estimators=512, n_jobs=1,\n",
- " random_state=1, warm_start=True)}}\n"
- ]
- }
- ],
- "source": [
- "# Show the different models\n",
- "pprint(automl.show_models(), indent=4)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 6,
- "id": "027039cd",
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Accuracy score: 0.951048951048951\n"
- ]
- }
- ],
- "source": [
- "# Predict the test labels\n",
- "predictions = automl.predict(X_test)\n",
- "print(\"Accuracy score:\", sklearn.metrics.accuracy_score(y_test, predictions))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 13,
- "id": "acd372ea",
- "metadata": {},
- "outputs": [],
- "source": [
- "# Export the model with the highest rank\n",
- "clf = automl.show_models()[7]['sklearn_classifier']\n",
- "pickle.dump(clf,open('model.pickle','wb'))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "id": "a3324782",
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "id": "021b7159",
- "metadata": {},
- "outputs": [],
- "source": []
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3 (ipykernel)",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.9.7"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
--
GitLab