Scikit-Learn Examples

Explore 1025 Scikit-Learn examples across 79 categories.

adaboost

• Configure AdaBoostClassifier "algorithm" Parameter
• Configure AdaBoostClassifier "estimator" Parameter
• Configure AdaBoostClassifier "learning_rate" Parameter
• Configure AdaBoostClassifier "n_estimators" Parameter
• Configure AdaBoostClassifier "random_state" Parameter
• Configure AdaBoostRegressor "estimator" Parameter
• Configure AdaBoostRegressor "learning_rate" Parameter
• Configure AdaBoostRegressor "loss" Parameter
• Configure AdaBoostRegressor "n_estimators" Parameter
• Configure AdaBoostRegressor "random_state" Parameter
• Scikit-Learn AdaBoostClassifier Model
• Scikit-Learn AdaBoostRegressor Model
• Scikit-Learn GridSearchCV AdaBoostClassifier
• Scikit-Learn GridSearchCV AdaBoostRegressor
• Scikit-Learn RandomizedSearchCV AdaBoostClassifier
• Scikit-Learn RandomizedSearchCV AdaBoostRegressor

algorithms

• Scikit-Learn "BaggingClassifier" versus "RandomForestClassifier"
• Scikit-Learn "BaggingRegressor" versus "RandomForestRegressor"
• Scikit-Learn "CategoricalNB" versus "MultinomialNB"
• Scikit-Learn "ElasticNet" versus "ElasticNetCV"
• Scikit-Learn "ExtraTreesClassifier" versus "RandomForestClassifier"
• Scikit-Learn "ExtraTreesRegressor" versus "RandomForestRegressor"
• Scikit-Learn "GradientBoostingClassifier" versus "HistGradientBoostingClassifier"
• Scikit-Learn "GradientBoostingRegressor" versus "HistGradientBoostingRegressor"
• Scikit-Learn "KNeighborsClassifier" versus "KNeighborsRegressor"
• Scikit-Learn "Lars" versus "LarsCV"
• Scikit-Learn "Lasso" versus "LassoCV"
• Scikit-Learn "LassoLars" versus "LassoLarsCV"
• Scikit-Learn "LinearSVC" versus "SVC"
• Scikit-Learn "LinearSVR" versus "SVR"
• Scikit-Learn "LogisticRegression" versus "LogisticRegressionCV"
• Scikit-Learn "MultiTaskElasticNet" versus "MultiTaskElasticNetCV"
• Scikit-Learn "MultiTaskLasso" versus "MultiTaskLassoCV"
• Scikit-Learn "OneVsOneClassifier" versus "OneVsRestClassifier"
• Scikit-Learn "OrthogonalMatchingPursuit" versus "OrthogonalMatchingPursuitCV"
• Scikit-Learn "Ridge" versus "RidgeCV"
• Scikit-Learn "RidgeClassifier" versus "RidgeClassifierCV"
• Scikit-Learn "StackingClassifier" versus "VotingClassifier"
• Scikit-Learn "StackingRegressor" versus "VotingRegressor"
• Scikit-Learn AdaBoostClassifier Model
• Scikit-Learn AdaBoostRegressor Model
• Scikit-Learn AffinityPropagation Model
• Scikit-Learn AgglomerativeClustering Model
• Scikit-Learn ARDRegression Model
• Scikit-Learn BaggingClassifier Model
• Scikit-Learn BaggingRegressor Model
• Scikit-Learn BayesianGaussianMixture Model
• Scikit-Learn BayesianRidge Regression Model
• Scikit-Learn BernoulliNB Model
• Scikit-Learn BernoulliRBM Model
• Scikit-Learn Birch Model
• Scikit-Learn BisectingKMeans Model
• Scikit-Learn CalibratedClassifierCV Model
• Scikit-Learn CategoricalNB Model
• Scikit-Learn ClassifierChain Model
• Scikit-Learn ComplementNB Model
• Scikit-Learn DBSCAN Model
• Scikit-Learn DecisionTreeClassifier Model
• Scikit-Learn DecisionTreeRegressor Model
• Scikit-Learn DictionaryLearning Model
• Scikit-Learn ElasticNet Regression Model
• Scikit-Learn ElasticNetCV Regression Model
• Scikit-Learn EllipticEnvelope Model
• Scikit-Learn ExtraTreeClassifier Model
• Scikit-Learn ExtraTreeRegressor Model
• Scikit-Learn ExtraTreesClassifier Model
• Scikit-Learn ExtraTreesRegressor Model
• Scikit-Learn FactorAnalysis Model
• Scikit-Learn FastICA Model
• Scikit-Learn FeatureAgglomeration Model
• Scikit-Learn FixedThresholdClassifier Model
• Scikit-Learn GammaRegressor Model
• Scikit-Learn GaussianMixture Model
• Scikit-Learn GaussianNB Model
• Scikit-Learn GaussianProcessClassifier Model
• Scikit-Learn GaussianProcessRegressor Model
• Scikit-Learn GradientBoostingClassifier Model
• Scikit-Learn GradientBoostingRegressor Model
• Scikit-Learn HDBSCAN Model
• Scikit-Learn HistGradientBoostingClassifier Model
• Scikit-Learn HistGradientBoostingRegressor Model
• Scikit-Learn HuberRegressor Model
• Scikit-Learn IncrementalPCA Model
• Scikit-Learn IsolationForest Model
• Scikit-Learn Isomap Model
• Scikit-Learn IsotonicRegression Model
• Scikit-Learn KernelDensity Model
• Scikit-Learn KernelPCA Model
• Scikit-Learn KernelRidge Regression Model
• Scikit-Learn KMeans Model
• Scikit-Learn KNeighborsClassifier Model
• Scikit-Learn KNeighborsRegressor Model
• Scikit-Learn LabelPropagation Model
• Scikit-Learn LabelSpreading Model
• Scikit-Learn Lars Regression Model
• Scikit-Learn LarsCV Regression Model
• Scikit-Learn Lasso Regression Model
• Scikit-Learn LassoCV Regression Model
• Scikit-Learn LassoLars Regression Model
• Scikit-Learn LassoLarsCV Regression Model
• Scikit-Learn LassoLarsIC Regression Model
• Scikit-Learn LatentDirichletAllocation Model
• Scikit-Learn LinearDiscriminantAnalysis Model
• Scikit-Learn LinearRegression Model
• Scikit-Learn LinearSVC Model
• Scikit-Learn LinearSVR Model
• Scikit-Learn LocallyLinearEmbedding Model
• Scikit-Learn LocalOutlierFactor Model
• Scikit-Learn LogisticRegression Model
• Scikit-Learn LogisticRegressionCV Model
• Scikit-Learn MDS Model
• Scikit-Learn MeanShift Model
• Scikit-Learn MiniBatchDictionaryLearning Model
• Scikit-Learn MiniBatchKMeans Model
• Scikit-Learn MiniBatchNMF Model
• Scikit-Learn MiniBatchSparsePCA Model
• Scikit-Learn MLPClassifier Model
• Scikit-Learn MLPRegressor Model
• Scikit-Learn MultinomialNB Model
• Scikit-Learn MultiOutputClassifier Model
• Scikit-Learn MultiOutputRegressor Model
• Scikit-Learn MultiTaskElasticNet Model
• Scikit-Learn MultiTaskElasticNetCV Model
• Scikit-Learn MultiTaskLasso Model
• Scikit-Learn MultiTaskLassoCV Model
• Scikit-Learn NearestCentroid Model
• Scikit-Learn NMF Model
• Scikit-Learn NuSVC Model
• Scikit-Learn NuSVR Model
• Scikit-Learn OneClassSVM Model
• Scikit-Learn OneVsOneClassifier Model
• Scikit-Learn OneVsRestClassifier Model
• Scikit-Learn OPTICS Model
• Scikit-Learn OrthogonalMatchingPursuit Model
• Scikit-Learn OrthogonalMatchingPursuitCV Model
• Scikit-Learn OutputCodeClassifier Model
• Scikit-Learn PassiveAggressiveClassifier Model
• Scikit-Learn PassiveAggressiveRegressor Model
• Scikit-Learn PCA Model
• Scikit-Learn Perceptron Model
• Scikit-Learn PLSRegression Model
• Scikit-Learn PoissonRegressor Model
• Scikit-Learn QuadraticDiscriminantAnalysis Model
• Scikit-Learn QuantileRegressor Model
• Scikit-Learn RadiusNeighborsClassifier Model
• Scikit-Learn RadiusNeighborsRegressor Model
• Scikit-Learn RandomForestClassifier Model
• Scikit-Learn RandomForestRegressor Model
• Scikit-Learn RANSACRegressor Model
• Scikit-Learn RegressorChain Model
• Scikit-Learn Ridge Regression Model
• Scikit-Learn RidgeClassifier Model
• Scikit-Learn RidgeClassifierCV Model
• Scikit-Learn RidgeCV Regression Model
• Scikit-Learn SelfTrainingClassifier Model
• Scikit-Learn SGDClassifier Model
• Scikit-Learn SGDOneClassSVM Model
• Scikit-Learn SGDRegressor Model
• Scikit-Learn SparseCoder Model
• Scikit-Learn SparsePCA Model
• Scikit-Learn SpectralBiclustering Model
• Scikit-Learn SpectralClustering Model
• Scikit-Learn SpectralCoclustering Model
• Scikit-Learn SpectralEmbedding Model
• Scikit-Learn StackingClassifier Model
• Scikit-Learn StackingRegressor Model
• Scikit-Learn SVC Model
• Scikit-Learn SVR Model
• Scikit-Learn TheilSenRegressor Model
• Scikit-Learn TruncatedSVD Model
• Scikit-Learn TSNE Model
• Scikit-Learn TunedThresholdClassifierCV Model
• Scikit-Learn TweedieRegressor Model
• Scikit-Learn VotingClassifier Model
• Scikit-Learn VotingRegressor Model

anomaly detection

• Scikit-Learn IsolationForest Model
• Scikit-Learn OneClassSVM Model
• Scikit-Learn SGDOneClassSVM Model

attributes

• Get LogisticRegression "classes_" Attribute
• Get LogisticRegression "coef_" Attribute
• Get LogisticRegression "feature_names_in_" Attribute
• Get LogisticRegression "intercept_" Attribute
• Get LogisticRegression "n_features_in_" Attribute
• Get LogisticRegression "n_iter_" Attribute
• Get RandomForestClassifier "classes_" Attribute
• Get RandomForestClassifier "estimator_" Attribute
• Get RandomForestClassifier "estimators_" Attribute
• Get RandomForestClassifier "feature_names_in_" Attribute
• Get RandomForestClassifier "n_classes_" Attribute
• Get RandomForestClassifier "n_features_in_" Attribute
• Get RandomForestClassifier "n_outputs_" Attribute
• Get RandomForestClassifier "oob_decision_function_" Attribute
• Get RandomForestClassifier "oob_score_" Attribute
• Scikit-Learn Get GridSearchCV "best_estimator_" Attribute
• Scikit-Learn Get GridSearchCV "best_index_" Attribute
• Scikit-Learn Get GridSearchCV "best_params_" Attribute
• Scikit-Learn Get GridSearchCV "best_score_" Attribute
• Scikit-Learn Get GridSearchCV "cv_results_" Attribute
• Scikit-Learn Get GridSearchCV "feature_names_in_" Attribute
• Scikit-Learn Get GridSearchCV "multimetric_" Attribute
• Scikit-Learn Get GridSearchCV "n_splits_" Attribute
• Scikit-Learn Get GridSearchCV "refit_time_" Attribute
• Scikit-Learn Get GridSearchCV "scorer_" Attribute
• Scikit-Learn Get RandomizedSearchCV "best_estimator_" Attribute
• Scikit-Learn Get RandomizedSearchCV "best_index_" Attribute
• Scikit-Learn Get RandomizedSearchCV "best_params_" Attribute
• Scikit-Learn Get RandomizedSearchCV "best_score_" Attribute
• Scikit-Learn Get RandomizedSearchCV "cv_results_" Attribute
• Scikit-Learn Get RandomizedSearchCV "feature_names_in_" Attribute
• Scikit-Learn Get RandomizedSearchCV "multimetric_" Attribute
• Scikit-Learn Get RandomizedSearchCV "n_splits_" Attribute
• Scikit-Learn Get RandomizedSearchCV "refit_time_" Attribute
• Scikit-Learn Get RandomizedSearchCV "scorer_" Attribute

bagging

• Configure BaggingClassifier "bootstrap_features" Parameter
• Configure BaggingClassifier "bootstrap" Parameter
• Configure BaggingClassifier "estimator" Parameter
• Configure BaggingClassifier "max_features" Parameter
• Configure BaggingClassifier "max_samples" Parameter
• Configure BaggingClassifier "n_estimators" Parameter
• Configure BaggingClassifier "n_jobs" Parameter
• Configure BaggingClassifier "oob_score" Parameter
• Configure BaggingClassifier "random_state" Parameter
• Configure BaggingClassifier "verbose" Parameter
• Configure BaggingClassifier "warm_start" Parameter
• Configure BaggingRegressor "bootstrap_features" Parameter
• Configure BaggingRegressor "bootstrap" Parameter
• Configure BaggingRegressor "estimator" Parameter
• Configure BaggingRegressor "max_features" Parameter
• Configure BaggingRegressor "max_samples" Parameter
• Configure BaggingRegressor "n_estimators" Parameter
• Configure BaggingRegressor "n_jobs" Parameter
• Configure BaggingRegressor "oob_score" Parameter
• Configure BaggingRegressor "random_state" Parameter
• Configure BaggingRegressor "verbose" Parameter
• Configure BaggingRegressor "warm_start" Parameter
• Scikit-Learn "BaggingClassifier" versus "RandomForestClassifier"
• Scikit-Learn "BaggingRegressor" versus "RandomForestRegressor"
• Scikit-Learn BaggingClassifier Model
• Scikit-Learn BaggingRegressor Model
• Scikit-Learn GridSearchCV BaggingClassifier
• Scikit-Learn GridSearchCV BaggingRegressor
• Scikit-Learn RandomizedSearchCV BaggingClassifier
• Scikit-Learn RandomizedSearchCV BaggingRegressor

calibration

• Scikit-Learn CalibratedClassifierCV Model

categorical

• Scikit-Learn add_dummy_feature() for Data Preprocessing
• Scikit-Learn binarize() for Data Preprocessing
• Scikit-Learn Binarizer for Data Preprocessing
• Scikit-Learn FeatureHasher for Feature Extraction
• Scikit-Learn label_binarize() for Data Preprocessing
• Scikit-Learn LabelBinarizer for Data Preprocessing
• Scikit-Learn LabelEncoder for Data Preprocessing
• Scikit-Learn MultiLabelBinarizer for Data Preprocessing
• Scikit-Learn OneHotEncoder for Data Preprocessing
• Scikit-Learn OrdinalEncoder for Data Preprocessing

check

• Check All Scikit-Learn Modules
• Check if Scikit-Learn is Installed
• Check Scikit-Learn Installation Location
• Check Scikit-Learn Version
• Import Scikit-Learn

classification

• Scikit-Learn accuracy_score() Metric
• Scikit-Learn AdaBoostClassifier Model
• Scikit-Learn auc() Metric
• Scikit-Learn average_precision_score() Metric
• Scikit-Learn BaggingClassifier Model
• Scikit-Learn balanced_accuracy_score() Metric
• Scikit-Learn BernoulliNB Model
• Scikit-Learn brier_score_loss() Metric
• Scikit-Learn CalibratedClassifierCV Model
• Scikit-Learn CategoricalNB Model
• Scikit-Learn class_likelihood_ratios() Metric
• Scikit-Learn classification_report() Metric
• Scikit-Learn ClassifierChain Model
• Scikit-Learn cohen_kappa_score() Metric
• Scikit-Learn ComplementNB Model
• Scikit-Learn confusion_matrix() Metric
• Scikit-Learn d2_log_loss_score() Metric
• Scikit-Learn dcg_score() Metric
• Scikit-Learn DecisionTreeClassifier Model
• Scikit-Learn det_curve() Metric
• Scikit-Learn ExtraTreeClassifier Model
• Scikit-Learn ExtraTreesClassifier Model
• Scikit-Learn f1_score() Metric
• Scikit-Learn fbeta_score() Metric
• Scikit-Learn FixedThresholdClassifier Model
• Scikit-Learn GaussianNB Model
• Scikit-Learn GaussianProcessClassifier Model
• Scikit-Learn GradientBoostingClassifier Model
• Scikit-Learn hamming_loss() Metric
• Scikit-Learn hinge_loss() Metric
• Scikit-Learn HistGradientBoostingClassifier Model
• Scikit-Learn jaccard_score() Metric
• Scikit-Learn KNeighborsClassifier Model
• Scikit-Learn LabelPropagation Model
• Scikit-Learn LabelSpreading Model
• Scikit-Learn LinearDiscriminantAnalysis Model
• Scikit-Learn LinearSVC Model
• Scikit-Learn log_loss() Metric
• Scikit-Learn LogisticRegression Model
• Scikit-Learn LogisticRegressionCV Model
• Scikit-Learn make_classification() Dataset
• Scikit-Learn matthews_corrcoef() Metric
• Scikit-Learn MLPClassifier Model
• Scikit-Learn multilabel_confusion_matrix() Metric
• Scikit-Learn MultinomialNB Model
• Scikit-Learn MultiOutputClassifier Model
• Scikit-Learn ndcg_score() Metric
• Scikit-Learn NearestCentroid Model
• Scikit-Learn NuSVC Model
• Scikit-Learn OneClassSVM Model
• Scikit-Learn OneVsOneClassifier Model
• Scikit-Learn OneVsRestClassifier Model
• Scikit-Learn OutputCodeClassifier Model
• Scikit-Learn PassiveAggressiveClassifier Model
• Scikit-Learn Perceptron Model
• Scikit-Learn precision_recall_curve() Metric
• Scikit-Learn precision_recall_fscore_support() Metric
• Scikit-Learn precision_score() Metric
• Scikit-Learn QuadraticDiscriminantAnalysis Model
• Scikit-Learn RadiusNeighborsClassifier Model
• Scikit-Learn RandomForestClassifier Model
• Scikit-Learn recall_score() Metric
• Scikit-Learn RidgeClassifier Model
• Scikit-Learn RidgeClassifierCV Model
• Scikit-Learn roc_auc_score() Metric
• Scikit-Learn roc_curve() Metric
• Scikit-Learn SelfTrainingClassifier Model
• Scikit-Learn SGDClassifier Model
• Scikit-Learn SGDOneClassSVM Model
• Scikit-Learn StackingClassifier Model
• Scikit-Learn SVC Model
• Scikit-Learn top_k_accuracy_score() Metric
• Scikit-Learn TunedThresholdClassifierCV Model
• Scikit-Learn VotingClassifier Model
• Scikit-Learn zero_one_loss() Metric

clustering

• Scikit-Learn adjusted_mutual_info_score() Metric
• Scikit-Learn adjusted_rand_score() Metric
• Scikit-Learn AffinityPropagation Model
• Scikit-Learn AgglomerativeClustering Model
• Scikit-Learn BayesianGaussianMixture Model
• Scikit-Learn Birch Model
• Scikit-Learn BisectingKMeans Model
• Scikit-Learn calinski_harabasz_score() Metric
• Scikit-Learn completeness_score() Metric
• Scikit-Learn contingency_matrix() Metric
• Scikit-Learn davies_bouldin_score() Metric
• Scikit-Learn DBSCAN Model
• Scikit-Learn FeatureAgglomeration Model
• Scikit-Learn fowlkes_mallows_score() Metric
• Scikit-Learn GaussianMixture Model
• Scikit-Learn HDBSCAN Model
• Scikit-Learn homogeneity_completeness_v_measure() Metric
• Scikit-Learn homogeneity_score() Metric
• Scikit-Learn KMeans Model
• Scikit-Learn MeanShift Model
• Scikit-Learn MiniBatchKMeans Model
• Scikit-Learn mutual_info_score() Metric
• Scikit-Learn normalized_mutual_info_score() Metric
• Scikit-Learn OPTICS Model
• Scikit-Learn pair_confusion_matrix() Metric
• Scikit-Learn rand_score() Metric
• Scikit-Learn silhouette_samples() Metric
• Scikit-Learn silhouette_score() Metric
• Scikit-Learn SpectralBiclustering Model
• Scikit-Learn SpectralClustering Model
• Scikit-Learn SpectralCoclustering Model
• Scikit-Learn v_measure_score() Metric

comparison

• Scikit-Learn "BaggingClassifier" versus "RandomForestClassifier"
• Scikit-Learn "BaggingRegressor" versus "RandomForestRegressor"
• Scikit-Learn "CategoricalNB" versus "MultinomialNB"
• Scikit-Learn "ElasticNet" versus "ElasticNetCV"
• Scikit-Learn "ExtraTreesClassifier" versus "RandomForestClassifier"
• Scikit-Learn "ExtraTreesRegressor" versus "RandomForestRegressor"
• Scikit-Learn "GradientBoostingClassifier" versus "HistGradientBoostingClassifier"
• Scikit-Learn "GradientBoostingRegressor" versus "HistGradientBoostingRegressor"
• Scikit-Learn "GridSearchCV" versus "RandomizedSearchCV"
• Scikit-Learn "KNeighborsClassifier" versus "KNeighborsRegressor"
• Scikit-Learn "Lars" versus "LarsCV"
• Scikit-Learn "Lasso" versus "LassoCV"
• Scikit-Learn "LassoLars" versus "LassoLarsCV"
• Scikit-Learn "LinearSVC" versus "SVC"
• Scikit-Learn "LinearSVR" versus "SVR"
• Scikit-Learn "LogisticRegression" versus "LogisticRegressionCV"
• Scikit-Learn "MultiTaskElasticNet" versus "MultiTaskElasticNetCV"
• Scikit-Learn "MultiTaskLasso" versus "MultiTaskLassoCV"
• Scikit-Learn "OneVsOneClassifier" versus "OneVsRestClassifier"
• Scikit-Learn "OrthogonalMatchingPursuit" versus "OrthogonalMatchingPursuitCV"
• Scikit-Learn "RepeatedKFold" versus "KFold"
• Scikit-Learn "RepeatedStratifiedKFold" versus "StratifiedKFold"
• Scikit-Learn "RFE" versus "RFECV"
• Scikit-Learn "Ridge" versus "RidgeCV"
• Scikit-Learn "RidgeClassifier" versus "RidgeClassifierCV"
• Scikit-Learn "SelectFdr" versus "SelectFpr"
• Scikit-Learn "StackingClassifier" versus "VotingClassifier"
• Scikit-Learn "StackingRegressor" versus "VotingRegressor"
• Scikit-Learn "StratifiedKFold" versus "KFold"

covariance

• Scikit-Learn EllipticEnvelope Model

cross composition

• Scikit-Learn PLSRegression Model

cross decomposition

• Scikit-Learn GridSearchCV PLSRegression

cross-validation

• Scikit-Learn cross_val_predict() to Evaluate Models
• Scikit-Learn cross_val_score() to Evaluate Models
• Scikit-Learn cross_validate() to Evaluate Models
• Scikit-Learn GroupKFold Data Splitting
• Scikit-Learn GroupShuffleSplit Data Splitting
• Scikit-Learn KFold Data Splitting
• Scikit-Learn LeaveOneGroupOut Data Splitting
• Scikit-Learn LeaveOneOut Data Splitting
• Scikit-Learn LeavePGroupsOut Data Splitting
• Scikit-Learn LeavePOut Data Splitting
• Scikit-Learn permutation_test_score() to Evaluate Models
• Scikit-Learn PredefinedSplit Data Splitting
• Scikit-Learn RepeatedKFold Data Splitting
• Scikit-Learn RepeatedStratifiedKFold Data Splitting
• Scikit-Learn ShuffleSplit Data Splitting
• Scikit-Learn StratifiedGroupKFold Data Splitting
• Scikit-Learn StratifiedKFold Data Splitting
• Scikit-Learn StratifiedShuffleSplit Data Splitting
• Scikit-Learn TimeSeriesSplit Data Splitting
• Scikit-Learn train_test_split() Data Splitting

data preparation

• Scikit-Learn AdditiveChi2Sampler for Data Preparation
• Scikit-Learn chi2() for Feature Selection
• Scikit-Learn f_classif() for Feature Selection
• Scikit-Learn f_regression() for Feature Selection
• Scikit-Learn GenericUnivariateSelect for Feature Selection
• Scikit-Learn mutual_info_classif() for Feature Selection
• Scikit-Learn mutual_info_regression() for Feature Selection
• Scikit-Learn Nystroem for Data Preparation
• Scikit-Learn r_regression() for Feature Selection
• Scikit-Learn RBFSampler for Data Preparation
• Scikit-Learn RFE for Feature Selection
• Scikit-Learn RFECV for Feature Selection
• Scikit-Learn SelectFdr for Feature Selection
• Scikit-Learn SelectFpr for Feature Selection
• Scikit-Learn SelectFromModel for Feature Selection
• Scikit-Learn SelectFwe for Feature Selection
• Scikit-Learn SelectKBest for Feature Selection
• Scikit-Learn SelectPercentile for Feature Selection
• Scikit-Learn SequentialFeatureSelector for Feature Selection
• Scikit-Learn SkewedChi2Sampler for Data Preparation
• Scikit-Learn VarianceThreshold for Feature Selection

data preprocessing

• Scikit-Learn add_dummy_feature() for Data Preprocessing
• Scikit-Learn binarize() for Data Preprocessing
• Scikit-Learn Binarizer for Data Preprocessing
• Scikit-Learn FunctionTransformer for Data Preprocessing
• Scikit-Learn IterativeImputer for Data Imputation
• Scikit-Learn KBinsDiscretizer for Data Preprocessing
• Scikit-Learn KernelCenterer for Data Preprocessing
• Scikit-Learn KNNImputer for Data Imputation
• Scikit-Learn label_binarize() for Data Preprocessing
• Scikit-Learn LabelBinarizer for Data Preprocessing
• Scikit-Learn LabelEncoder for Data Preprocessing
• Scikit-Learn maxabs_scale() for Data Preprocessing
• Scikit-Learn MaxAbsScaler for Data Preprocessing
• Scikit-Learn minmax_scale() for Data Preprocessing
• Scikit-Learn MinMaxScaler for Data Preprocessing
• Scikit-Learn MissingIndicator for Data Imputation
• Scikit-Learn MultiLabelBinarizer for Data Preprocessing
• Scikit-Learn normalize() for Data Preprocessing
• Scikit-Learn Normalizer for Data Preprocessing
• Scikit-Learn OneHotEncoder for Data Preprocessing
• Scikit-Learn OrdinalEncoder for Data Preprocessing
• Scikit-Learn PolynomialFeatures for Data Preprocessing
• Scikit-Learn power_transform() for Data Preprocessing
• Scikit-Learn PowerTransformer for Data Preprocessing
• Scikit-Learn quantile_transform() for Data Preprocessing
• Scikit-Learn QuantileTransformer for Data Preprocessing
• Scikit-Learn robust_scale() for Data Preprocessing
• Scikit-Learn RobustScaler for Data Preprocessing
• Scikit-Learn scale() for Data Preprocessing
• Scikit-Learn SimpleImputer for Data Imputation
• Scikit-Learn SplineTransformer for Data Preprocessing
• Scikit-Learn StandardScaler for Data Preprocessing

data scaling

• Scikit-Learn maxabs_scale() for Data Preprocessing
• Scikit-Learn MaxAbsScaler for Data Preprocessing
• Scikit-Learn minmax_scale() for Data Preprocessing
• Scikit-Learn MinMaxScaler for Data Preprocessing
• Scikit-Learn normalize() for Data Preprocessing
• Scikit-Learn Normalizer for Data Preprocessing
• Scikit-Learn power_transform() for Data Preprocessing
• Scikit-Learn PowerTransformer for Data Preprocessing
• Scikit-Learn quantile_transform() for Data Preprocessing
• Scikit-Learn QuantileTransformer for Data Preprocessing
• Scikit-Learn robust_scale() for Data Preprocessing
• Scikit-Learn RobustScaler for Data Preprocessing
• Scikit-Learn scale() for Data Preprocessing
• Scikit-Learn SplineTransformer for Data Preprocessing
• Scikit-Learn StandardScaler for Data Preprocessing

data splitting

• Scikit-Learn "RepeatedKFold" versus "KFold"
• Scikit-Learn "RepeatedStratifiedKFold" versus "StratifiedKFold"
• Scikit-Learn "StratifiedKFold" versus "KFold"
• Scikit-Learn cross_val_predict() to Evaluate Models
• Scikit-Learn cross_val_score() to Evaluate Models
• Scikit-Learn cross_validate() to Evaluate Models
• Scikit-Learn GroupKFold Data Splitting
• Scikit-Learn GroupShuffleSplit Data Splitting
• Scikit-Learn KFold Data Splitting
• Scikit-Learn LeaveOneGroupOut Data Splitting
• Scikit-Learn LeaveOneOut Data Splitting
• Scikit-Learn LeavePGroupsOut Data Splitting
• Scikit-Learn LeavePOut Data Splitting
• Scikit-Learn permutation_test_score() to Evaluate Models
• Scikit-Learn PredefinedSplit Data Splitting
• Scikit-Learn RepeatedKFold Data Splitting
• Scikit-Learn RepeatedStratifiedKFold Data Splitting
• Scikit-Learn ShuffleSplit Data Splitting
• Scikit-Learn StratifiedGroupKFold Data Splitting
• Scikit-Learn StratifiedKFold Data Splitting
• Scikit-Learn StratifiedShuffleSplit Data Splitting
• Scikit-Learn TimeSeriesSplit Data Splitting
• Scikit-Learn train_test_split() Data Splitting

datasets

• Scikit-Learn fetch_20newsgroups_vectorized() Dataset
• Scikit-Learn fetch_20newsgroups() Dataset
• Scikit-Learn fetch_california_housing() Dataset
• Scikit-Learn fetch_covtype() Dataset
• Scikit-Learn fetch_kddcup99() Dataset
• Scikit-Learn fetch_lfw_pairs() Dataset
• Scikit-Learn fetch_lfw_people() Dataset
• Scikit-Learn fetch_olivetti_faces() Dataset
• Scikit-Learn fetch_openml() Dataset
• Scikit-Learn fetch_rcv1() Dataset
• Scikit-Learn fetch_species_distributions() Dataset
• Scikit-Learn load_breast_cancer() Dataset
• Scikit-Learn load_diabetes() Dataset
• Scikit-Learn load_digits() Dataset
• Scikit-Learn load_iris() Dataset
• Scikit-Learn load_linnerud() Dataset
• Scikit-Learn load_wine() Dataset
• Scikit-Learn make_biclusters() Dataset
• Scikit-Learn make_blobs() Dataset
• Scikit-Learn make_checkerboard() Dataset
• Scikit-Learn make_circles() Dataset
• Scikit-Learn make_classification() Dataset
• Scikit-Learn make_friedman1() Dataset
• Scikit-Learn make_friedman2() Dataset
• Scikit-Learn make_friedman3() Dataset
• Scikit-Learn make_gaussian_quantiles() Dataset
• Scikit-Learn make_hastie_10_2() Dataset
• Scikit-Learn make_low_rank_matrix() Dataset
• Scikit-Learn make_moons() Dataset
• Scikit-Learn make_multilabel_classification() Dataset
• Scikit-Learn make_regression() Dataset
• Scikit-Learn make_s_curve() Dataset
• Scikit-Learn make_sparse_coded_signal() Dataset
• Scikit-Learn make_sparse_spd_matrix() Dataset
• Scikit-Learn make_sparse_uncorrelated() Dataset
• Scikit-Learn make_spd_matrix() Dataset
• Scikit-Learn make_swiss_roll() Dataset

decision tree

• Configure DecisionTreeClassifier "ccp_alpha" Parameter
• Configure DecisionTreeClassifier "class_weight" Parameter
• Configure DecisionTreeClassifier "criterion" Parameter
• Configure DecisionTreeClassifier "max_depth" Parameter
• Configure DecisionTreeClassifier "max_leaf_nodes" Parameter
• Configure DecisionTreeClassifier "min_impurity_decrease" Parameter
• Configure DecisionTreeClassifier "min_samples_leaf" Parameter
• Configure DecisionTreeClassifier "min_samples_split" Parameter
• Configure DecisionTreeClassifier "min_weight_fraction_leaf" Parameter
• Configure DecisionTreeClassifier "monotonic_cst" Parameter
• Configure DecisionTreeClassifier "random_state" Parameter
• Configure DecisionTreeClassifier "splitter" Parameter
• Configure DecisionTreeRegressor "ccp_alpha" Parameter
• Configure DecisionTreeRegressor "criterion" Parameter
• Configure DecisionTreeRegressor "max_depth" Parameter
• Configure DecisionTreeRegressor "max_features" Parameter
• Configure DecisionTreeRegressor "max_leaf_nodes" Parameter
• Configure DecisionTreeRegressor "min_impurity_decrease" Parameter
• Configure DecisionTreeRegressor "min_samples_leaf" Parameter
• Configure DecisionTreeRegressor "min_samples_split" Parameter
• Configure DecisionTreeRegressor "min_weight_fraction_leaf" Parameter
• Configure DecisionTreeRegressor "monotonic_cst" Parameter
• Configure DecisionTreeRegressor "random_state" Parameter
• Configure DecisionTreeRegressor "splitter" Parameter
• Scikit-Learn DecisionTreeClassifier Model
• Scikit-Learn DecisionTreeRegressor Model
• Scikit-Learn ExtraTreeClassifier Model
• Scikit-Learn ExtraTreeRegressor Model
• Scikit-Learn GridSearchCV DecisionTreeClassifier
• Scikit-Learn GridSearchCV DecisionTreeRegressor
• Scikit-Learn GridSearchCV ExtraTreeClassifier
• Scikit-Learn GridSearchCV ExtraTreeRegressor
• Scikit-Learn RandomizedSearchCV DecisionTreeClassifier
• Scikit-Learn RandomizedSearchCV DecisionTreeRegressor
• Scikit-Learn RandomizedSearchCV ExtraTreeClassifier
• Scikit-Learn RandomizedSearchCV ExtraTreeRegressor

decomposition

• Scikit-Learn DictionaryLearning Model
• Scikit-Learn FactorAnalysis Model
• Scikit-Learn FastICA Model
• Scikit-Learn IncrementalPCA Model
• Scikit-Learn KernelPCA Model
• Scikit-Learn LatentDirichletAllocation Model
• Scikit-Learn MiniBatchDictionaryLearning Model
• Scikit-Learn MiniBatchNMF Model
• Scikit-Learn MiniBatchSparsePCA Model
• Scikit-Learn NMF Model
• Scikit-Learn PCA Model
• Scikit-Learn SparseCoder Model
• Scikit-Learn SparsePCA Model
• Scikit-Learn TruncatedSVD Model

dimensionality reduction

• Scikit-Learn BernoulliRBM Model
• Scikit-Learn DictionaryLearning Model
• Scikit-Learn FactorAnalysis Model
• Scikit-Learn FastICA Model
• Scikit-Learn GaussianRandomProjection for Dimensionality Reduction
• Scikit-Learn IncrementalPCA Model
• Scikit-Learn Isomap Model
• Scikit-Learn KernelPCA Model
• Scikit-Learn LocallyLinearEmbedding Model
• Scikit-Learn MDS Model
• Scikit-Learn MiniBatchDictionaryLearning Model
• Scikit-Learn MiniBatchNMF Model
• Scikit-Learn MiniBatchSparsePCA Model
• Scikit-Learn NMF Model
• Scikit-Learn PCA Model
• Scikit-Learn SparseCoder Model
• Scikit-Learn SparsePCA Model
• Scikit-Learn SparseRandomProjection for Dimensionality Reduction
• Scikit-Learn SpectralEmbedding Model
• Scikit-Learn TruncatedSVD Model
• Scikit-Learn TSNE Model

discriminant analysis

• Configure LinearDiscriminantAnalysis "covariance_estimator" Parameter
• Configure LinearDiscriminantAnalysis "n_components" Parameter
• Configure LinearDiscriminantAnalysis "priors" Parameter
• Configure LinearDiscriminantAnalysis "shrinkage" Parameter
• Configure LinearDiscriminantAnalysis "solver" Parameter
• Configure LinearDiscriminantAnalysis "store_covariance" Parameter
• Configure LinearDiscriminantAnalysis "tol" Parameter
• Configure QuadraticDiscriminantAnalysis "priors" Parameter
• Configure QuadraticDiscriminantAnalysis "reg_param" Parameter
• Configure QuadraticDiscriminantAnalysis "tol" Parameter
• Scikit-Learn GridSearchCV LinearDiscriminantAnalysis
• Scikit-Learn GridSearchCV QuadraticDiscriminantAnalysis
• Scikit-Learn LinearDiscriminantAnalysis Model
• Scikit-Learn QuadraticDiscriminantAnalysis Model
• Scikit-Learn RandomizedSearchCV LinearDiscriminantAnalysis
• Scikit-Learn RandomizedSearchCV QuadraticDiscriminantAnalysis

distances

• Scikit-Learn additive_chi2_kernel() Metric
• Scikit-Learn chi2_kernel() Metric
• Scikit-Learn cosine_distances() Metric
• Scikit-Learn cosine_similarity() Metric
• Scikit-Learn euclidean_distances() Metric
• Scikit-Learn haversine_distances() Metric
• Scikit-Learn laplacian_kernel() Metric
• Scikit-Learn linear_kernel() Metric
• Scikit-Learn manhattan_distances() Metric
• Scikit-Learn nan_euclidean_distances() Metric
• Scikit-Learn paired_cosine_distances() Metric
• Scikit-Learn paired_distances() Metric

elastic net

• Configure ElasticNet "alpha" Parameter
• Configure ElasticNet "copy_X" Parameter
• Configure ElasticNet "fit_intercept" Parameter
• Configure ElasticNet "l1_ratio" Parameter
• Configure ElasticNet "max_iter" Parameter
• Configure ElasticNet "positive" Parameter
• Configure ElasticNet "precompute" Parameter
• Configure ElasticNet "random_state" Parameter
• Configure ElasticNet "selection" Parameter
• Configure ElasticNet "tol" Parameter
• Configure ElasticNet "warm_start" Parameter
• Scikit-Learn "ElasticNet" versus "ElasticNetCV"
• Scikit-Learn "MultiTaskElasticNet" versus "MultiTaskElasticNetCV"
• Scikit-Learn ElasticNet Regression Model
• Scikit-Learn ElasticNetCV Regression Model
• Scikit-Learn GridSearchCV ElasticNet
• Scikit-Learn MultiTaskElasticNet Model
• Scikit-Learn MultiTaskElasticNetCV Model
• Scikit-Learn RandomizedSearchCV ElasticNet

ensemble

• Scikit-Learn "BaggingClassifier" versus "RandomForestClassifier"
• Scikit-Learn "BaggingRegressor" versus "RandomForestRegressor"
• Scikit-Learn "ExtraTreesClassifier" versus "RandomForestClassifier"
• Scikit-Learn "ExtraTreesRegressor" versus "RandomForestRegressor"
• Scikit-Learn "GradientBoostingClassifier" versus "HistGradientBoostingClassifier"
• Scikit-Learn "GradientBoostingRegressor" versus "HistGradientBoostingRegressor"
• Scikit-Learn "StackingClassifier" versus "VotingClassifier"
• Scikit-Learn "StackingRegressor" versus "VotingRegressor"
• Scikit-Learn AdaBoostClassifier Model
• Scikit-Learn AdaBoostRegressor Model
• Scikit-Learn BaggingClassifier Model
• Scikit-Learn BaggingRegressor Model
• Scikit-Learn ExtraTreesClassifier Model
• Scikit-Learn ExtraTreesRegressor Model
• Scikit-Learn GradientBoostingClassifier Model
• Scikit-Learn GradientBoostingRegressor Model
• Scikit-Learn GridSearchCV AdaBoostClassifier
• Scikit-Learn GridSearchCV AdaBoostRegressor
• Scikit-Learn GridSearchCV BaggingClassifier
• Scikit-Learn GridSearchCV BaggingRegressor
• Scikit-Learn GridSearchCV ExtraTreesClassifier
• Scikit-Learn GridSearchCV ExtraTreesRegressor
• Scikit-Learn GridSearchCV GradientBoostingClassifier
• Scikit-Learn GridSearchCV GradientBoostingRegressor
• Scikit-Learn GridSearchCV HistGradientBoostingClassifier
• Scikit-Learn GridSearchCV HistGradientBoostingRegressor
• Scikit-Learn GridSearchCV RandomForestClassifier
• Scikit-Learn GridSearchCV RandomForestRegressor
• Scikit-Learn GridSearchCV StackingClassifier
• Scikit-Learn GridSearchCV StackingRegressor
• Scikit-Learn GridSearchCV VotingClassifier
• Scikit-Learn GridSearchCV VotingRegressor
• Scikit-Learn HistGradientBoostingClassifier Model
• Scikit-Learn HistGradientBoostingRegressor Model
• Scikit-Learn IsolationForest Model
• Scikit-Learn RandomForestClassifier Model
• Scikit-Learn RandomForestRegressor Model
• Scikit-Learn RandomizedSearchCV AdaBoostClassifier
• Scikit-Learn RandomizedSearchCV AdaBoostRegressor
• Scikit-Learn RandomizedSearchCV BaggingClassifier
• Scikit-Learn RandomizedSearchCV BaggingRegressor
• Scikit-Learn RandomizedSearchCV ExtraTreesClassifier
• Scikit-Learn RandomizedSearchCV ExtraTreesRegressor
• Scikit-Learn RandomizedSearchCV GradientBoostingClassifier
• Scikit-Learn RandomizedSearchCV GradientBoostingRegressor
• Scikit-Learn RandomizedSearchCV HistGradientBoostingClassifier
• Scikit-Learn RandomizedSearchCV HistGradientBoostingRegressor
• Scikit-Learn RandomizedSearchCV RandomForestClassifier
• Scikit-Learn RandomizedSearchCV RandomForestRegressor
• Scikit-Learn RandomizedSearchCV StackingClassifier
• Scikit-Learn RandomizedSearchCV StackingRegressor
• Scikit-Learn RandomizedSearchCV VotingClassifier
• Scikit-Learn RandomizedSearchCV VotingRegressor
• Scikit-Learn StackingClassifier Model
• Scikit-Learn StackingRegressor Model
• Scikit-Learn VotingClassifier Model
• Scikit-Learn VotingRegressor Model

evaluation

• Scikit-Learn cross_val_predict() to Evaluate Models
• Scikit-Learn cross_val_score() to Evaluate Models
• Scikit-Learn cross_validate() to Evaluate Models
• Scikit-Learn GroupKFold Data Splitting
• Scikit-Learn GroupShuffleSplit Data Splitting
• Scikit-Learn KFold Data Splitting
• Scikit-Learn learning_curve() to Evaluate Models
• Scikit-Learn LeaveOneGroupOut Data Splitting
• Scikit-Learn LeaveOneOut Data Splitting
• Scikit-Learn LeavePGroupsOut Data Splitting
• Scikit-Learn LeavePOut Data Splitting
• Scikit-Learn permutation_test_score() to Evaluate Models
• Scikit-Learn PredefinedSplit Data Splitting
• Scikit-Learn RepeatedKFold Data Splitting
• Scikit-Learn RepeatedStratifiedKFold Data Splitting
• Scikit-Learn ShuffleSplit Data Splitting
• Scikit-Learn StratifiedGroupKFold Data Splitting
• Scikit-Learn StratifiedKFold Data Splitting
• Scikit-Learn StratifiedShuffleSplit Data Splitting
• Scikit-Learn TimeSeriesSplit Data Splitting
• Scikit-Learn train_test_split() Data Splitting
• Scikit-Learn validation_curve() to Evaluate Models

experimental

• Scikit-Learn HalvingGridSearchCV Hyperparameter Optimization
• Scikit-Learn HalvingRandomSearchCV Hyperparameter Optimization
• Scikit-Learn IterativeImputer for Data Imputation

extra trees

• Configure ExtraTreesClassifier "bootstrap" Parameter
• Configure ExtraTreesClassifier "ccp_alpha" Parameter
• Configure ExtraTreesClassifier "class_weight" Parameter
• Configure ExtraTreesClassifier "criterion" Parameter
• Configure ExtraTreesClassifier "max_depth" Parameter
• Configure ExtraTreesClassifier "max_features" Parameter
• Configure ExtraTreesClassifier "max_leaf_nodes" Parameter
• Configure ExtraTreesClassifier "max_samples" Parameter
• Configure ExtraTreesClassifier "min_impurity_decrease" Parameter
• Configure ExtraTreesClassifier "min_samples_leaf" Parameter
• Configure ExtraTreesClassifier "min_samples_split" Parameter
• Configure ExtraTreesClassifier "min_weight_fraction_leaf" Parameter
• Configure ExtraTreesClassifier "monotonic_cst" Parameter
• Configure ExtraTreesClassifier "n_estimators" Parameter
• Configure ExtraTreesClassifier "n_jobs" Parameter
• Configure ExtraTreesClassifier "oob_score" Parameter
• Configure ExtraTreesClassifier "random_state" Parameter
• Configure ExtraTreesClassifier "verbose" Parameter
• Configure ExtraTreesClassifier "warm_start" Parameter
• Configure ExtraTreesRegressor "bootstrap" Parameter
• Configure ExtraTreesRegressor "ccp_alpha" Parameter
• Configure ExtraTreesRegressor "criterion" Parameter
• Configure ExtraTreesRegressor "max_depth" Parameter
• Configure ExtraTreesRegressor "max_leaf_nodes" Parameter
• Configure ExtraTreesRegressor "max_samples" Parameter
• Configure ExtraTreesRegressor "min_impurity_decrease" Parameter
• Configure ExtraTreesRegressor "min_samples_leaf" Parameter
• Configure ExtraTreesRegressor "min_samples_split" Parameter
• Configure ExtraTreesRegressor "min_weight_fraction_leaf" Parameter
• Configure ExtraTreesRegressor "monotonic_cst" Parameter
• Configure ExtraTreesRegressor "n_estimators" Parameter
• Configure ExtraTreesRegressor "n_jobs" Parameter
• Configure ExtraTreesRegressor "oob_score" Parameter
• Configure ExtraTreesRegressor "random_state" Parameter
• Configure ExtraTreesRegressor "verbose" Parameter
• Configure ExtraTreesRegressor "warm_start" Parameter
• Scikit-Learn "ExtraTreesClassifier" versus "RandomForestClassifier"
• Scikit-Learn "ExtraTreesRegressor" versus "RandomForestRegressor"
• Scikit-Learn GridSearchCV ExtraTreesClassifier
• Scikit-Learn GridSearchCV ExtraTreesRegressor
• Scikit-Learn RandomizedSearchCV ExtraTreesClassifier
• Scikit-Learn RandomizedSearchCV ExtraTreesRegressor

feature engineering

• Scikit-Learn add_dummy_feature() for Data Preprocessing
• Scikit-Learn binarize() for Data Preprocessing
• Scikit-Learn Binarizer for Data Preprocessing
• Scikit-Learn KBinsDiscretizer for Data Preprocessing
• Scikit-Learn KernelCenterer for Data Preprocessing
• Scikit-Learn label_binarize() for Data Preprocessing
• Scikit-Learn LabelBinarizer for Data Preprocessing
• Scikit-Learn LabelEncoder for Data Preprocessing
• Scikit-Learn MissingIndicator for Data Imputation
• Scikit-Learn PolynomialFeatures for Data Preprocessing

feature extraction

• Scikit-Learn CountVectorizer for Feature Extraction
• Scikit-Learn DictVectorizer for Feature Extraction
• Scikit-Learn FeatureHasher for Feature Extraction
• Scikit-Learn FeatureUnion for Pipelines
• Scikit-Learn HashingVectorizer for Feature Extraction
• Scikit-Learn make_union() for Pipelines
• Scikit-Learn TfidfTransformer for Feature Extraction
• Scikit-Learn TfidfVectorizer for Feature Extraction

feature importance

• Scikit-Learn permutation_importance() Feature Importance

feature selection

• Scikit-Learn "RFE" versus "RFECV"
• Scikit-Learn "SelectFdr" versus "SelectFpr"
• Scikit-Learn chi2() for Feature Selection
• Scikit-Learn f_classif() for Feature Selection
• Scikit-Learn f_regression() for Feature Selection
• Scikit-Learn GenericUnivariateSelect for Feature Selection
• Scikit-Learn mutual_info_classif() for Feature Selection
• Scikit-Learn mutual_info_regression() for Feature Selection
• Scikit-Learn permutation_importance() Feature Importance
• Scikit-Learn r_regression() for Feature Selection
• Scikit-Learn RFE for Feature Selection
• Scikit-Learn RFECV for Feature Selection
• Scikit-Learn SelectFdr for Feature Selection
• Scikit-Learn SelectFpr for Feature Selection
• Scikit-Learn SelectFromModel for Feature Selection
• Scikit-Learn SelectFwe for Feature Selection
• Scikit-Learn SelectKBest for Feature Selection
• Scikit-Learn SelectPercentile for Feature Selection
• Scikit-Learn SequentialFeatureSelector for Feature Selection
• Scikit-Learn VarianceThreshold for Feature Selection

gaussian process

• Scikit-Learn Gaussian Process with "ConstantKernel" Kernel
• Scikit-Learn Gaussian Process with "DotProduct" Kernel
• Scikit-Learn Gaussian Process with "Exponentiation" Kernel
• Scikit-Learn Gaussian Process with "ExpSineSquared" Kernel
• Scikit-Learn Gaussian Process with "Matern" Kernel
• Scikit-Learn Gaussian Process with "Product" Kernel
• Scikit-Learn Gaussian Process with "RationalQuadratic" Kernel
• Scikit-Learn Gaussian Process with "RBF" Kernel
• Scikit-Learn Gaussian Process with "Sum" Kernel
• Scikit-Learn Gaussian Process with "WhiteKernel" Kernel
• Scikit-Learn GaussianProcessClassifier Model
• Scikit-Learn GaussianProcessRegressor Model

gradient boosting

• Configure GradientBoostingClassifier "ccp_alpha" Parameter
• Configure GradientBoostingClassifier "criterion" Parameter
• Configure GradientBoostingClassifier "init" Parameter
• Configure GradientBoostingClassifier "learning_rate" Parameter
• Configure GradientBoostingClassifier "loss" Parameter
• Configure GradientBoostingClassifier "max_depth" Parameter
• Configure GradientBoostingClassifier "max_features" Parameter
• Configure GradientBoostingClassifier "max_leaf_nodes" Parameter
• Configure GradientBoostingClassifier "min_impurity_decrease" Parameter
• Configure GradientBoostingClassifier "min_samples_leaf" Parameter
• Configure GradientBoostingClassifier "min_samples_split" Parameter
• Configure GradientBoostingClassifier "min_weight_fraction_leaf" Parameter
• Configure GradientBoostingClassifier "n_estimators" Parameter
• Configure GradientBoostingClassifier "n_iter_no_change" Parameter
• Configure GradientBoostingClassifier "random_state" Parameter
• Configure GradientBoostingClassifier "subsample" Parameter
• Configure GradientBoostingClassifier "tol" Parameter
• Configure GradientBoostingClassifier "validation_fraction" Parameter
• Configure GradientBoostingClassifier "verbose" Parameter
• Configure GradientBoostingClassifier "warm_start" Parameter
• Configure GradientBoostingRegressor "alpha" Parameter
• Configure GradientBoostingRegressor "ccp_alpha" Parameter
• Configure GradientBoostingRegressor "criterion" Parameter
• Configure GradientBoostingRegressor "init" Parameter
• Configure GradientBoostingRegressor "learning_rate" Parameter
• Configure GradientBoostingRegressor "loss" Parameter
• Configure GradientBoostingRegressor "max_depth" Parameter
• Configure GradientBoostingRegressor "max_features" Parameter
• Configure GradientBoostingRegressor "max_leaf_nodes" Parameter
• Configure GradientBoostingRegressor "min_impurity_decrease" Parameter
• Configure GradientBoostingRegressor "min_samples_leaf" Parameter
• Configure GradientBoostingRegressor "min_samples_split" Parameter
• Configure GradientBoostingRegressor "min_weight_fraction_leaf" Parameter
• Configure GradientBoostingRegressor "n_estimators" Parameter
• Configure GradientBoostingRegressor "n_iter_no_change" Parameter
• Configure GradientBoostingRegressor "random_state" Parameter
• Configure GradientBoostingRegressor "subsample" Parameter
• Configure GradientBoostingRegressor "tol" Parameter
• Configure GradientBoostingRegressor "validation_fraction" Parameter
• Configure GradientBoostingRegressor "verbose" Parameter
• Configure GradientBoostingRegressor "warm_start" Parameter
• Configure HistGradientBoostingClassifier "categorical_features" Parameter
• Configure HistGradientBoostingClassifier "class_weight" Parameter
• Configure HistGradientBoostingClassifier "early_stopping" Parameter
• Configure HistGradientBoostingClassifier "interaction_cst" Parameter
• Configure HistGradientBoostingClassifier "l2_regularization" Parameter
• Configure HistGradientBoostingClassifier "learning_rate" Parameter
• Configure HistGradientBoostingClassifier "loss" Parameter
• Configure HistGradientBoostingClassifier "max_bins" Parameter
• Configure HistGradientBoostingClassifier "max_depth" Parameter
• Configure HistGradientBoostingClassifier "max_features" Parameter
• Configure HistGradientBoostingClassifier "max_iter" Parameter
• Configure HistGradientBoostingClassifier "max_leaf_nodes" Parameter
• Configure HistGradientBoostingClassifier "min_samples_leaf" Parameter
• Configure HistGradientBoostingClassifier "monotonic_cst" Parameter
• Configure HistGradientBoostingClassifier "n_iter_no_change" Parameter
• Configure HistGradientBoostingClassifier "random_state" Parameter
• Configure HistGradientBoostingClassifier "scoring" Parameter
• Configure HistGradientBoostingClassifier "tol" Parameter
• Configure HistGradientBoostingClassifier "validation_fraction" Parameter
• Configure HistGradientBoostingClassifier "verbose" Parameter
• Configure HistGradientBoostingClassifier "warm_start" Parameter
• Configure HistGradientBoostingRegressor "categorical_features" Parameter
• Configure HistGradientBoostingRegressor "early_stopping" Parameter
• Configure HistGradientBoostingRegressor "interaction_cst" Parameter
• Configure HistGradientBoostingRegressor "l2_regularization" Parameter
• Configure HistGradientBoostingRegressor "learning_rate" Parameter
• Configure HistGradientBoostingRegressor "loss" Parameter
• Configure HistGradientBoostingRegressor "max_bins" Parameter
• Configure HistGradientBoostingRegressor "max_depth" Parameter
• Configure HistGradientBoostingRegressor "max_features" Parameter
• Configure HistGradientBoostingRegressor "max_iter" Parameter
• Configure HistGradientBoostingRegressor "max_leaf_nodes" Parameter
• Configure HistGradientBoostingRegressor "min_samples_leaf" Parameter
• Configure HistGradientBoostingRegressor "monotonic_cst" Parameter
• Configure HistGradientBoostingRegressor "n_iter_no_change" Parameter
• Configure HistGradientBoostingRegressor "quantile" Parameter
• Configure HistGradientBoostingRegressor "random_state" Parameter
• Configure HistGradientBoostingRegressor "scoring" Parameter
• Configure HistGradientBoostingRegressor "tol" Parameter
• Configure HistGradientBoostingRegressor "validation_fraction" Parameter
• Configure HistGradientBoostingRegressor "verbose" Parameter
• Configure HistGradientBoostingRegressor "warm_start" Parameter
• Scikit-Learn "GradientBoostingClassifier" versus "HistGradientBoostingClassifier"
• Scikit-Learn "GradientBoostingRegressor" versus "HistGradientBoostingRegressor"
• Scikit-Learn GradientBoostingClassifier Model
• Scikit-Learn GradientBoostingRegressor Model
• Scikit-Learn GridSearchCV GradientBoostingClassifier
• Scikit-Learn GridSearchCV GradientBoostingRegressor
• Scikit-Learn GridSearchCV HistGradientBoostingClassifier
• Scikit-Learn GridSearchCV HistGradientBoostingRegressor
• Scikit-Learn HistGradientBoostingClassifier Model
• Scikit-Learn HistGradientBoostingRegressor Model
• Scikit-Learn RandomizedSearchCV GradientBoostingClassifier
• Scikit-Learn RandomizedSearchCV GradientBoostingRegressor
• Scikit-Learn RandomizedSearchCV HistGradientBoostingClassifier
• Scikit-Learn RandomizedSearchCV HistGradientBoostingRegressor

grid search

• Scikit-Learn "GridSearchCV" versus "RandomizedSearchCV"
• Scikit-Learn Configure GridSearchCV "cv" Parameter
• Scikit-Learn Configure GridSearchCV "error_score" Parameter
• Scikit-Learn Configure GridSearchCV "estimator" Parameter
• Scikit-Learn Configure GridSearchCV "n_jobs" Parameter
• Scikit-Learn Configure GridSearchCV "param_grid" Parameter
• Scikit-Learn Configure GridSearchCV "pre_dispatch" Parameter
• Scikit-Learn Configure GridSearchCV "refit" Parameter
• Scikit-Learn Configure GridSearchCV "return_train_score" Parameter
• Scikit-Learn Configure GridSearchCV "scoring" Parameter
• Scikit-Learn Configure GridSearchCV "verbose" Parameter
• Scikit-Learn Get GridSearchCV "best_estimator_" Attribute
• Scikit-Learn Get GridSearchCV "best_index_" Attribute
• Scikit-Learn Get GridSearchCV "best_params_" Attribute
• Scikit-Learn Get GridSearchCV "best_score_" Attribute
• Scikit-Learn Get GridSearchCV "cv_results_" Attribute
• Scikit-Learn Get GridSearchCV "feature_names_in_" Attribute
• Scikit-Learn Get GridSearchCV "multimetric_" Attribute
• Scikit-Learn Get GridSearchCV "n_splits_" Attribute
• Scikit-Learn Get GridSearchCV "refit_time_" Attribute
• Scikit-Learn Get GridSearchCV "scorer_" Attribute
• Scikit-Learn GridSearchCV AdaBoostClassifier
• Scikit-Learn GridSearchCV AdaBoostRegressor
• Scikit-Learn GridSearchCV ARDRegression
• Scikit-Learn GridSearchCV BaggingClassifier
• Scikit-Learn GridSearchCV BaggingRegressor
• Scikit-Learn GridSearchCV BayesianRidge
• Scikit-Learn GridSearchCV BernoulliNB
• Scikit-Learn GridSearchCV CategoricalNB
• Scikit-Learn GridSearchCV ComplementNB
• Scikit-Learn GridSearchCV DecisionTreeClassifier
• Scikit-Learn GridSearchCV DecisionTreeRegressor
• Scikit-Learn GridSearchCV ElasticNet
• Scikit-Learn GridSearchCV ExtraTreeClassifier
• Scikit-Learn GridSearchCV ExtraTreeRegressor
• Scikit-Learn GridSearchCV ExtraTreesClassifier
• Scikit-Learn GridSearchCV ExtraTreesRegressor
• Scikit-Learn GridSearchCV GammaRegressor
• Scikit-Learn GridSearchCV GaussianNB
• Scikit-Learn GridSearchCV GaussianProcessClassifier
• Scikit-Learn GridSearchCV GaussianProcessRegressor
• Scikit-Learn GridSearchCV GradientBoostingClassifier
• Scikit-Learn GridSearchCV GradientBoostingRegressor
• Scikit-Learn GridSearchCV HistGradientBoostingClassifier
• Scikit-Learn GridSearchCV HistGradientBoostingRegressor
• Scikit-Learn GridSearchCV HuberRegressor
• Scikit-Learn GridSearchCV Hyperparameter Optimization
• Scikit-Learn GridSearchCV KernelRidge
• Scikit-Learn GridSearchCV KNeighborsClassifier
• Scikit-Learn GridSearchCV KNeighborsRegressor
• Scikit-Learn GridSearchCV LabelPropagation
• Scikit-Learn GridSearchCV LabelSpreading
• Scikit-Learn GridSearchCV Lars
• Scikit-Learn GridSearchCV Lasso
• Scikit-Learn GridSearchCV LassoLars
• Scikit-Learn GridSearchCV LassoLarsIC
• Scikit-Learn GridSearchCV LinearDiscriminantAnalysis
• Scikit-Learn GridSearchCV LinearRegression
• Scikit-Learn GridSearchCV LinearSVC
• Scikit-Learn GridSearchCV LinearSVR
• Scikit-Learn GridSearchCV LogisticRegression
• Scikit-Learn GridSearchCV MLPClassifier
• Scikit-Learn GridSearchCV MLPRegressor
• Scikit-Learn GridSearchCV MultinomialNB
• Scikit-Learn GridSearchCV MultiTaskElasticNet
• Scikit-Learn GridSearchCV MultiTaskLasso
• Scikit-Learn GridSearchCV NearestCentroid
• Scikit-Learn GridSearchCV NuSVC
• Scikit-Learn GridSearchCV NuSVR
• Scikit-Learn GridSearchCV OrthogonalMatchingPursuit
• Scikit-Learn GridSearchCV PassiveAggressiveClassifier
• Scikit-Learn GridSearchCV PassiveAggressiveRegressor
• Scikit-Learn GridSearchCV Perceptron
• Scikit-Learn GridSearchCV PLSRegression
• Scikit-Learn GridSearchCV PoissonRegressor
• Scikit-Learn GridSearchCV QuadraticDiscriminantAnalysis
• Scikit-Learn GridSearchCV QuantileRegressor
• Scikit-Learn GridSearchCV RadiusNeighborsClassifier
• Scikit-Learn GridSearchCV RadiusNeighborsRegressor
• Scikit-Learn GridSearchCV RandomForestClassifier
• Scikit-Learn GridSearchCV RandomForestRegressor
• Scikit-Learn GridSearchCV RANSACRegressor
• Scikit-Learn GridSearchCV Ridge
• Scikit-Learn GridSearchCV RidgeClassifier
• Scikit-Learn GridSearchCV SelfTrainingClassifier
• Scikit-Learn GridSearchCV SGDClassifier
• Scikit-Learn GridSearchCV SGDRegressor
• Scikit-Learn GridSearchCV StackingClassifier
• Scikit-Learn GridSearchCV StackingRegressor
• Scikit-Learn GridSearchCV SVC
• Scikit-Learn GridSearchCV SVR
• Scikit-Learn GridSearchCV TheilSenRegressor
• Scikit-Learn GridSearchCV TweedieRegressor
• Scikit-Learn GridSearchCV VotingClassifier
• Scikit-Learn GridSearchCV VotingRegressor

hyperparameter optimization

• Scikit-Learn "GridSearchCV" versus "RandomizedSearchCV"
• Scikit-Learn GridSearchCV AdaBoostClassifier
• Scikit-Learn GridSearchCV AdaBoostRegressor
• Scikit-Learn GridSearchCV ARDRegression
• Scikit-Learn GridSearchCV BaggingClassifier
• Scikit-Learn GridSearchCV BaggingRegressor
• Scikit-Learn GridSearchCV BayesianRidge
• Scikit-Learn GridSearchCV BernoulliNB
• Scikit-Learn GridSearchCV CategoricalNB
• Scikit-Learn GridSearchCV ComplementNB
• Scikit-Learn GridSearchCV DecisionTreeClassifier
• Scikit-Learn GridSearchCV DecisionTreeRegressor
• Scikit-Learn GridSearchCV ElasticNet
• Scikit-Learn GridSearchCV ExtraTreeClassifier
• Scikit-Learn GridSearchCV ExtraTreeRegressor
• Scikit-Learn GridSearchCV ExtraTreesClassifier
• Scikit-Learn GridSearchCV ExtraTreesRegressor
• Scikit-Learn GridSearchCV GammaRegressor
• Scikit-Learn GridSearchCV GaussianNB
• Scikit-Learn GridSearchCV GaussianProcessClassifier
• Scikit-Learn GridSearchCV GaussianProcessRegressor
• Scikit-Learn GridSearchCV GradientBoostingClassifier
• Scikit-Learn GridSearchCV GradientBoostingRegressor
• Scikit-Learn GridSearchCV HistGradientBoostingClassifier
• Scikit-Learn GridSearchCV HistGradientBoostingRegressor
• Scikit-Learn GridSearchCV HuberRegressor
• Scikit-Learn GridSearchCV Hyperparameter Optimization
• Scikit-Learn GridSearchCV KernelRidge
• Scikit-Learn GridSearchCV KNeighborsClassifier
• Scikit-Learn GridSearchCV KNeighborsRegressor
• Scikit-Learn GridSearchCV LabelPropagation
• Scikit-Learn GridSearchCV LabelSpreading
• Scikit-Learn GridSearchCV Lars
• Scikit-Learn GridSearchCV Lasso
• Scikit-Learn GridSearchCV LassoLars
• Scikit-Learn GridSearchCV LassoLarsIC
• Scikit-Learn GridSearchCV LinearDiscriminantAnalysis
• Scikit-Learn GridSearchCV LinearRegression
• Scikit-Learn GridSearchCV LinearSVC
• Scikit-Learn GridSearchCV LinearSVR
• Scikit-Learn GridSearchCV LogisticRegression
• Scikit-Learn GridSearchCV MLPClassifier
• Scikit-Learn GridSearchCV MLPRegressor
• Scikit-Learn GridSearchCV MultinomialNB
• Scikit-Learn GridSearchCV MultiTaskElasticNet
• Scikit-Learn GridSearchCV MultiTaskLasso
• Scikit-Learn GridSearchCV NearestCentroid
• Scikit-Learn GridSearchCV NuSVC
• Scikit-Learn GridSearchCV NuSVR
• Scikit-Learn GridSearchCV OrthogonalMatchingPursuit
• Scikit-Learn GridSearchCV PassiveAggressiveClassifier
• Scikit-Learn GridSearchCV PassiveAggressiveRegressor
• Scikit-Learn GridSearchCV Perceptron
• Scikit-Learn GridSearchCV PLSRegression
• Scikit-Learn GridSearchCV PoissonRegressor
• Scikit-Learn GridSearchCV QuadraticDiscriminantAnalysis
• Scikit-Learn GridSearchCV QuantileRegressor
• Scikit-Learn GridSearchCV RadiusNeighborsClassifier
• Scikit-Learn GridSearchCV RadiusNeighborsRegressor
• Scikit-Learn GridSearchCV RandomForestClassifier
• Scikit-Learn GridSearchCV RandomForestRegressor
• Scikit-Learn GridSearchCV RANSACRegressor
• Scikit-Learn GridSearchCV Ridge
• Scikit-Learn GridSearchCV RidgeClassifier
• Scikit-Learn GridSearchCV SelfTrainingClassifier
• Scikit-Learn GridSearchCV SGDClassifier
• Scikit-Learn GridSearchCV SGDRegressor
• Scikit-Learn GridSearchCV StackingClassifier
• Scikit-Learn GridSearchCV StackingRegressor
• Scikit-Learn GridSearchCV SVC
• Scikit-Learn GridSearchCV SVR
• Scikit-Learn GridSearchCV TheilSenRegressor
• Scikit-Learn GridSearchCV TweedieRegressor
• Scikit-Learn GridSearchCV VotingClassifier
• Scikit-Learn GridSearchCV VotingRegressor
• Scikit-Learn HalvingGridSearchCV Hyperparameter Optimization
• Scikit-Learn HalvingRandomSearchCV Hyperparameter Optimization
• Scikit-Learn RandomizedSearchCV AdaBoostClassifier
• Scikit-Learn RandomizedSearchCV AdaBoostRegressor
• Scikit-Learn RandomizedSearchCV ARDRegression
• Scikit-Learn RandomizedSearchCV BaggingClassifier
• Scikit-Learn RandomizedSearchCV BaggingRegressor
• Scikit-Learn RandomizedSearchCV BayesianRidge
• Scikit-Learn RandomizedSearchCV BernoulliNB
• Scikit-Learn RandomizedSearchCV CategoricalNB
• Scikit-Learn RandomizedSearchCV ComplementNB
• Scikit-Learn RandomizedSearchCV DecisionTreeClassifier
• Scikit-Learn RandomizedSearchCV DecisionTreeRegressor
• Scikit-Learn RandomizedSearchCV ElasticNet
• Scikit-Learn RandomizedSearchCV ExtraTreeClassifier
• Scikit-Learn RandomizedSearchCV ExtraTreeRegressor
• Scikit-Learn RandomizedSearchCV ExtraTreesClassifier
• Scikit-Learn RandomizedSearchCV ExtraTreesRegressor
• Scikit-Learn RandomizedSearchCV GammaRegressor
• Scikit-Learn RandomizedSearchCV GaussianNB
• Scikit-Learn RandomizedSearchCV GaussianProcessClassifier
• Scikit-Learn RandomizedSearchCV GaussianProcessRegressor
• Scikit-Learn RandomizedSearchCV GradientBoostingClassifier
• Scikit-Learn RandomizedSearchCV GradientBoostingRegressor
• Scikit-Learn RandomizedSearchCV HistGradientBoostingClassifier
• Scikit-Learn RandomizedSearchCV HistGradientBoostingRegressor
• Scikit-Learn RandomizedSearchCV HuberRegressor
• Scikit-Learn RandomizedSearchCV Hyperparameter Optimization
• Scikit-Learn RandomizedSearchCV KernelRidge
• Scikit-Learn RandomizedSearchCV KNeighborsClassifier
• Scikit-Learn RandomizedSearchCV KNeighborsRegressor
• Scikit-Learn RandomizedSearchCV LabelPropagation
• Scikit-Learn RandomizedSearchCV LabelSpreading
• Scikit-Learn RandomizedSearchCV Lars
• Scikit-Learn RandomizedSearchCV Lasso
• Scikit-Learn RandomizedSearchCV LassoLars
• Scikit-Learn RandomizedSearchCV LassoLarsIC
• Scikit-Learn RandomizedSearchCV LinearDiscriminantAnalysis
• Scikit-Learn RandomizedSearchCV LinearRegression
• Scikit-Learn RandomizedSearchCV LinearSVC
• Scikit-Learn RandomizedSearchCV LinearSVR
• Scikit-Learn RandomizedSearchCV LogisticRegression
• Scikit-Learn RandomizedSearchCV MLPClassifier
• Scikit-Learn RandomizedSearchCV MLPRegressor
• Scikit-Learn RandomizedSearchCV MultinomialNB
• Scikit-Learn RandomizedSearchCV MultiTaskElasticNet
• Scikit-Learn RandomizedSearchCV MultiTaskLasso
• Scikit-Learn RandomizedSearchCV NearestCentroid
• Scikit-Learn RandomizedSearchCV NuSVC
• Scikit-Learn RandomizedSearchCV NuSVR
• Scikit-Learn RandomizedSearchCV OrthogonalMatchingPursuit
• Scikit-Learn RandomizedSearchCV PassiveAggressiveClassifier
• Scikit-Learn RandomizedSearchCV PassiveAggressiveRegressor
• Scikit-Learn RandomizedSearchCV Perceptron
• Scikit-Learn RandomizedSearchCV PLSRegression
• Scikit-Learn RandomizedSearchCV PoissonRegressor
• Scikit-Learn RandomizedSearchCV QuadraticDiscriminantAnalysis
• Scikit-Learn RandomizedSearchCV QuantileRegressor
• Scikit-Learn RandomizedSearchCV RandomForestClassifier
• Scikit-Learn RandomizedSearchCV RandomForestRegressor
• Scikit-Learn RandomizedSearchCV RANSACRegressor
• Scikit-Learn RandomizedSearchCV Ridge
• Scikit-Learn RandomizedSearchCV RidgeClassifier
• Scikit-Learn RandomizedSearchCV SelfTrainingClassifier
• Scikit-Learn RandomizedSearchCV SGDClassifier
• Scikit-Learn RandomizedSearchCV SGDRegressor
• Scikit-Learn RandomizedSearchCV StackingClassifier
• Scikit-Learn RandomizedSearchCV StackingRegressor
• Scikit-Learn RandomizedSearchCV SVC
• Scikit-Learn RandomizedSearchCV SVR
• Scikit-Learn RandomizedSearchCV TheilSenRegressor
• Scikit-Learn RandomizedSearchCV TweedieRegressor
• Scikit-Learn RandomizedSearchCV VotingClassifier
• Scikit-Learn RandomizedSearchCV VotingRegressor

images

• Scikit-Learn fetch_lfw_pairs() Dataset
• Scikit-Learn fetch_lfw_people() Dataset
• Scikit-Learn fetch_olivetti_faces() Dataset
• Scikit-Learn load_digits() Dataset

imbalanced

• Configure DecisionTreeClassifier "class_weight" Parameter
• Configure ExtraTreesClassifier "class_weight" Parameter
• Configure HistGradientBoostingClassifier "class_weight" Parameter
• Configure LogisticRegression "class_weight" Parameter
• Configure RandomForestClassifier "class_weight" Parameter
• Configure SGDClassifier "class_weight" Parameter
• Configure SVC "class_weight" Parameter
• Scikit-Learn auc() Metric
• Scikit-Learn average_precision_score() Metric
• Scikit-Learn balanced_accuracy_score() Metric
• Scikit-Learn f1_score() Metric
• Scikit-Learn matthews_corrcoef() Metric
• Scikit-Learn precision_recall_curve() Metric

imputation

• Scikit-Learn IterativeImputer for Data Imputation
• Scikit-Learn KNNImputer for Data Imputation
• Scikit-Learn MissingIndicator for Data Imputation
• Scikit-Learn SimpleImputer for Data Imputation

incremental learning

• Configure BaggingClassifier "warm_start" Parameter
• Configure BaggingRegressor "warm_start" Parameter
• Configure ElasticNet "warm_start" Parameter
• Configure ExtraTreesClassifier "warm_start" Parameter
• Configure ExtraTreesRegressor "warm_start" Parameter
• Configure GradientBoostingClassifier "warm_start" Parameter
• Configure GradientBoostingRegressor "warm_start" Parameter
• Configure HistGradientBoostingClassifier "warm_start" Parameter
• Configure HistGradientBoostingRegressor "warm_start" Parameter
• Configure Lasso "warm_start" Parameter
• Configure LogisticRegression "warm_start" Parameter
• Configure MLPClassifier "warm_start" Parameter
• Configure MLPRegressor "warm_start" Parameter
• Configure RandomForestClassifier "warm_start" Parameter
• Configure RandomForestRegressor "warm_start" Parameter
• Configure SGDClassifier "warm_start" Parameter
• Configure SGDRegressor "warm_start" Parameter

install

• Check All Scikit-Learn Modules
• Check if Scikit-Learn is Installed
• Check Scikit-Learn Installation Location
• Check Scikit-Learn Version
• Download Scikit-Learn
• Import Scikit-Learn
• Install Scikit-Learn Dependencies
• Install Scikit-Learn with conda
• Install Scikit-Learn with pip
• Uninstall Scikit-Learn with conda
• Uninstall Scikit-Learn with pip
• Upgrade Scikit-Learn on Fedora Linux
• Upgrade Scikit-Learn on Linux
• Upgrade Scikit-Learn on macOS
• Upgrade Scikit-Learn on macOS with MacPorts
• Upgrade Scikit-Learn on Ubuntu Linux
• Upgrade Scikit-Learn on Windows
• Upgrade Scikit-Learn with conda
• Upgrade Scikit-Learn with pip

kernel

• Scikit-Learn additive_chi2_kernel() Metric
• Scikit-Learn AdditiveChi2Sampler for Data Preparation
• Scikit-Learn chi2_kernel() Metric
• Scikit-Learn Gaussian Process with "ConstantKernel" Kernel
• Scikit-Learn Gaussian Process with "DotProduct" Kernel
• Scikit-Learn Gaussian Process with "Exponentiation" Kernel
• Scikit-Learn Gaussian Process with "ExpSineSquared" Kernel
• Scikit-Learn Gaussian Process with "Matern" Kernel
• Scikit-Learn Gaussian Process with "Product" Kernel
• Scikit-Learn Gaussian Process with "RationalQuadratic" Kernel
• Scikit-Learn Gaussian Process with "RBF" Kernel
• Scikit-Learn Gaussian Process with "Sum" Kernel
• Scikit-Learn Gaussian Process with "WhiteKernel" Kernel
• Scikit-Learn GridSearchCV KernelRidge
• Scikit-Learn KernelDensity Model
• Scikit-Learn KernelRidge Regression Model
• Scikit-Learn laplacian_kernel() Metric
• Scikit-Learn linear_kernel() Metric
• Scikit-Learn Nystroem for Data Preparation
• Scikit-Learn RandomizedSearchCV KernelRidge
• Scikit-Learn RBFSampler for Data Preparation
• Scikit-Learn SkewedChi2Sampler for Data Preparation

kernel approximation

• Scikit-Learn AdditiveChi2Sampler for Data Preparation
• Scikit-Learn Nystroem for Data Preparation
• Scikit-Learn RBFSampler for Data Preparation
• Scikit-Learn SkewedChi2Sampler for Data Preparation

knn

• Configure KNeighborsClassifier "algorithm" Parameter
• Configure KNeighborsClassifier "leaf_size" Parameter
• Configure KNeighborsClassifier "metric_params" Parameter
• Configure KNeighborsClassifier "metric" Parameter
• Configure KNeighborsClassifier "n_jobs" Parameter
• Configure KNeighborsClassifier "n_neighbors" Parameter
• Configure KNeighborsClassifier "p" Parameter
• Configure KNeighborsClassifier "weights" Parameter
• Configure KNeighborsRegressor "algorithm" Parameter
• Configure KNeighborsRegressor "leaf_size" Parameter
• Configure KNeighborsRegressor "metric_params" Parameter
• Configure KNeighborsRegressor "metric" Parameter
• Configure KNeighborsRegressor "n_jobs" Parameter
• Configure KNeighborsRegressor "n_neighbors" Parameter
• Configure KNeighborsRegressor "p" Parameter
• Configure KNeighborsRegressor "weights" Parameter
• Scikit-Learn "KNeighborsClassifier" versus "KNeighborsRegressor"
• Scikit-Learn GridSearchCV KNeighborsClassifier
• Scikit-Learn GridSearchCV KNeighborsRegressor
• Scikit-Learn GridSearchCV NearestCentroid
• Scikit-Learn GridSearchCV RadiusNeighborsClassifier
• Scikit-Learn GridSearchCV RadiusNeighborsRegressor
• Scikit-Learn KernelDensity Model
• Scikit-Learn KNeighborsClassifier Model
• Scikit-Learn KNeighborsRegressor Model
• Scikit-Learn KNNImputer for Data Imputation
• Scikit-Learn LocalOutlierFactor Model
• Scikit-Learn NearestCentroid Model
• Scikit-Learn RadiusNeighborsClassifier Model
• Scikit-Learn RadiusNeighborsRegressor Model
• Scikit-Learn RandomizedSearchCV KNeighborsClassifier
• Scikit-Learn RandomizedSearchCV KNeighborsRegressor
• Scikit-Learn RandomizedSearchCV NearestCentroid

lasso

• Configure Lasso "alpha" Parameter
• Configure Lasso "copy_X" Parameter
• Configure Lasso "fit_intercept" Parameter
• Configure Lasso "max_iter" Parameter
• Configure Lasso "positive" Parameter
• Configure Lasso "precompute" Parameter
• Configure Lasso "random_state" Parameter
• Configure Lasso "selection" Parameter
• Configure Lasso "tol" Parameter
• Configure Lasso "warm_start" Parameter
• Scikit-Learn "Lasso" versus "LassoCV"
• Scikit-Learn "LassoLars" versus "LassoLarsCV"
• Scikit-Learn GridSearchCV Lasso
• Scikit-Learn GridSearchCV LassoLars
• Scikit-Learn GridSearchCV LassoLarsIC
• Scikit-Learn Lasso Regression Model
• Scikit-Learn LassoCV Regression Model
• Scikit-Learn LassoLars Regression Model
• Scikit-Learn LassoLarsCV Regression Model
• Scikit-Learn LassoLarsIC Regression Model
• Scikit-Learn RandomizedSearchCV Lasso
• Scikit-Learn RandomizedSearchCV LassoLars
• Scikit-Learn RandomizedSearchCV LassoLarsIC

linear

• Scikit-Learn "ElasticNet" versus "ElasticNetCV"
• Scikit-Learn "Lars" versus "LarsCV"
• Scikit-Learn "Lasso" versus "LassoCV"
• Scikit-Learn "LassoLars" versus "LassoLarsCV"
• Scikit-Learn "LogisticRegression" versus "LogisticRegressionCV"
• Scikit-Learn "MultiTaskElasticNet" versus "MultiTaskElasticNetCV"
• Scikit-Learn "MultiTaskLasso" versus "MultiTaskLassoCV"
• Scikit-Learn "OrthogonalMatchingPursuit" versus "OrthogonalMatchingPursuitCV"
• Scikit-Learn "Ridge" versus "RidgeCV"
• Scikit-Learn "RidgeClassifier" versus "RidgeClassifierCV"
• Scikit-Learn ARDRegression Model
• Scikit-Learn BayesianRidge Regression Model
• Scikit-Learn ElasticNet Regression Model
• Scikit-Learn ElasticNetCV Regression Model
• Scikit-Learn GammaRegressor Model
• Scikit-Learn GridSearchCV ARDRegression
• Scikit-Learn GridSearchCV BayesianRidge
• Scikit-Learn GridSearchCV ElasticNet
• Scikit-Learn GridSearchCV GammaRegressor
• Scikit-Learn GridSearchCV HuberRegressor
• Scikit-Learn GridSearchCV Lars
• Scikit-Learn GridSearchCV Lasso
• Scikit-Learn GridSearchCV LassoLars
• Scikit-Learn GridSearchCV LassoLarsIC
• Scikit-Learn GridSearchCV LinearRegression
• Scikit-Learn GridSearchCV LogisticRegression
• Scikit-Learn GridSearchCV MultiTaskElasticNet
• Scikit-Learn GridSearchCV MultiTaskLasso
• Scikit-Learn GridSearchCV OrthogonalMatchingPursuit
• Scikit-Learn GridSearchCV PassiveAggressiveClassifier
• Scikit-Learn GridSearchCV PassiveAggressiveRegressor
• Scikit-Learn GridSearchCV Perceptron
• Scikit-Learn GridSearchCV PoissonRegressor
• Scikit-Learn GridSearchCV QuantileRegressor
• Scikit-Learn GridSearchCV RANSACRegressor
• Scikit-Learn GridSearchCV Ridge
• Scikit-Learn GridSearchCV RidgeClassifier
• Scikit-Learn GridSearchCV SGDClassifier
• Scikit-Learn GridSearchCV SGDRegressor
• Scikit-Learn GridSearchCV TheilSenRegressor
• Scikit-Learn GridSearchCV TweedieRegressor
• Scikit-Learn HuberRegressor Model
• Scikit-Learn Lars Regression Model
• Scikit-Learn LarsCV Regression Model
• Scikit-Learn Lasso Regression Model
• Scikit-Learn LassoCV Regression Model
• Scikit-Learn LassoLars Regression Model
• Scikit-Learn LassoLarsCV Regression Model
• Scikit-Learn LassoLarsIC Regression Model
• Scikit-Learn LinearRegression Model
• Scikit-Learn LogisticRegression Model
• Scikit-Learn LogisticRegressionCV Model
• Scikit-Learn MultiTaskElasticNet Model
• Scikit-Learn MultiTaskElasticNetCV Model
• Scikit-Learn MultiTaskLasso Model
• Scikit-Learn MultiTaskLassoCV Model
• Scikit-Learn OrthogonalMatchingPursuit Model
• Scikit-Learn OrthogonalMatchingPursuitCV Model
• Scikit-Learn PassiveAggressiveClassifier Model
• Scikit-Learn PassiveAggressiveRegressor Model
• Scikit-Learn Perceptron Model
• Scikit-Learn PoissonRegressor Model
• Scikit-Learn QuantileRegressor Model
• Scikit-Learn RandomizedSearchCV ARDRegression
• Scikit-Learn RandomizedSearchCV BayesianRidge
• Scikit-Learn RandomizedSearchCV ElasticNet
• Scikit-Learn RandomizedSearchCV GammaRegressor
• Scikit-Learn RandomizedSearchCV HuberRegressor
• Scikit-Learn RandomizedSearchCV Lars
• Scikit-Learn RandomizedSearchCV Lasso
• Scikit-Learn RandomizedSearchCV LassoLars
• Scikit-Learn RandomizedSearchCV LassoLarsIC
• Scikit-Learn RandomizedSearchCV LinearRegression
• Scikit-Learn RandomizedSearchCV LogisticRegression
• Scikit-Learn RandomizedSearchCV MultiTaskElasticNet
• Scikit-Learn RandomizedSearchCV MultiTaskLasso
• Scikit-Learn RandomizedSearchCV OrthogonalMatchingPursuit
• Scikit-Learn RandomizedSearchCV PassiveAggressiveClassifier
• Scikit-Learn RandomizedSearchCV PassiveAggressiveRegressor
• Scikit-Learn RandomizedSearchCV Perceptron
• Scikit-Learn RandomizedSearchCV PoissonRegressor
• Scikit-Learn RandomizedSearchCV QuantileRegressor
• Scikit-Learn RandomizedSearchCV RANSACRegressor
• Scikit-Learn RandomizedSearchCV Ridge
• Scikit-Learn RandomizedSearchCV RidgeClassifier
• Scikit-Learn RandomizedSearchCV SGDClassifier
• Scikit-Learn RandomizedSearchCV SGDRegressor
• Scikit-Learn RandomizedSearchCV TheilSenRegressor
• Scikit-Learn RandomizedSearchCV TweedieRegressor
• Scikit-Learn RANSACRegressor Model
• Scikit-Learn Ridge Regression Model
• Scikit-Learn RidgeClassifier Model
• Scikit-Learn RidgeClassifierCV Model
• Scikit-Learn RidgeCV Regression Model
• Scikit-Learn SGDClassifier Model
• Scikit-Learn SGDOneClassSVM Model
• Scikit-Learn SGDRegressor Model
• Scikit-Learn TheilSenRegressor Model
• Scikit-Learn TweedieRegressor Model

linear regression

• Configure LinearRegression "copy_X" Parameter
• Configure LinearRegression "fit_intercept" Parameter
• Configure LinearRegression "n_jobs" Parameter
• Configure LinearRegression "positive" Parameter
• Scikit-Learn GridSearchCV LinearRegression
• Scikit-Learn LinearRegression Model
• Scikit-Learn RandomizedSearchCV LinearRegression

logistic regression

• Configure LogisticRegression "C" Parameter
• Configure LogisticRegression "class_weight" Parameter
• Configure LogisticRegression "dual" Parameter
• Configure LogisticRegression "fit_intercept" Parameter
• Configure LogisticRegression "intercept_scaling" Parameter
• Configure LogisticRegression "l1_ratio" Parameter
• Configure LogisticRegression "max_iter" Parameter
• Configure LogisticRegression "multi_class" Parameter
• Configure LogisticRegression "n_jobs" Parameter
• Configure LogisticRegression "penalty" Parameter
• Configure LogisticRegression "random_state" Parameter
• Configure LogisticRegression "solver" Parameter
• Configure LogisticRegression "tol" Parameter
• Configure LogisticRegression "verbose" Parameter
• Configure LogisticRegression "warm_start" Parameter
• Get LogisticRegression "classes_" Attribute
• Get LogisticRegression "coef_" Attribute
• Get LogisticRegression "feature_names_in_" Attribute
• Get LogisticRegression "intercept_" Attribute
• Get LogisticRegression "n_features_in_" Attribute
• Get LogisticRegression "n_iter_" Attribute
• Scikit-Learn GridSearchCV LogisticRegression
• Scikit-Learn LogisticRegression Model
• Scikit-Learn LogisticRegressionCV Model
• Scikit-Learn RandomizedSearchCV LogisticRegression

manifold

• Scikit-Learn Isomap Model
• Scikit-Learn LocallyLinearEmbedding Model
• Scikit-Learn MDS Model
• Scikit-Learn SpectralEmbedding Model
• Scikit-Learn TSNE Model

meta

• About
• Contact
• Scikit-Learn Examples
• Suggestion

metrics

• Scikit-Learn accuracy_score() Metric
• Scikit-Learn additive_chi2_kernel() Metric
• Scikit-Learn adjusted_mutual_info_score() Metric
• Scikit-Learn adjusted_rand_score() Metric
• Scikit-Learn auc() Metric
• Scikit-Learn average_precision_score() Metric
• Scikit-Learn balanced_accuracy_score() Metric
• Scikit-Learn brier_score_loss() Metric
• Scikit-Learn calinski_harabasz_score() Metric
• Scikit-Learn chi2_kernel() Metric
• Scikit-Learn class_likelihood_ratios() Metric
• Scikit-Learn classification_report() Metric
• Scikit-Learn cohen_kappa_score() Metric
• Scikit-Learn completeness_score() Metric
• Scikit-Learn confusion_matrix() Metric
• Scikit-Learn contingency_matrix() Metric
• Scikit-Learn cosine_distances() Metric
• Scikit-Learn cosine_similarity() Metric
• Scikit-Learn coverage_error() Metric
• Scikit-Learn d2_log_loss_score() Metric
• Scikit-Learn d2_pinball_score() Metric
• Scikit-Learn d2_tweedie_score() Metric
• Scikit-Learn davies_bouldin_score() Metric
• Scikit-Learn dcg_score() Metric
• Scikit-Learn det_curve() Metric
• Scikit-Learn euclidean_distances() Metric
• Scikit-Learn explained_variance_score() Metric
• Scikit-Learn f1_score() Metric
• Scikit-Learn fbeta_score() Metric
• Scikit-Learn fowlkes_mallows_score() Metric
• Scikit-Learn hamming_loss() Metric
• Scikit-Learn haversine_distances() Metric
• Scikit-Learn hinge_loss() Metric
• Scikit-Learn homogeneity_completeness_v_measure() Metric
• Scikit-Learn homogeneity_score() Metric
• Scikit-Learn jaccard_score() Metric
• Scikit-Learn label_ranking_average_precision_score() Metric
• Scikit-Learn label_ranking_loss() Metric
• Scikit-Learn laplacian_kernel() Metric
• Scikit-Learn linear_kernel() Metric
• Scikit-Learn log_loss() Metric
• Scikit-Learn manhattan_distances() Metric
• Scikit-Learn matthews_corrcoef() Metric
• Scikit-Learn max_error() Metric
• Scikit-Learn mean_absolute_error() Metric
• Scikit-Learn mean_absolute_percentage_error() Metric
• Scikit-Learn mean_pinball_loss() Metric
• Scikit-Learn mean_poisson_deviance() Metric
• Scikit-Learn mean_squared_error() Metric
• Scikit-Learn mean_squared_log_error() Metric
• Scikit-Learn mean_tweedie_deviance() Metric
• Scikit-Learn median_absolute_error() Metric
• Scikit-Learn multilabel_confusion_matrix() Metric
• Scikit-Learn mutual_info_score() Metric
• Scikit-Learn nan_euclidean_distances() Metric
• Scikit-Learn ndcg_score() Metric
• Scikit-Learn normalized_mutual_info_score() Metric
• Scikit-Learn pair_confusion_matrix() Metric
• Scikit-Learn paired_cosine_distances() Metric
• Scikit-Learn paired_distances() Metric
• Scikit-Learn precision_recall_curve() Metric
• Scikit-Learn precision_recall_fscore_support() Metric
• Scikit-Learn precision_score() Metric
• Scikit-Learn r2_score() Metric
• Scikit-Learn rand_score() Metric
• Scikit-Learn recall_score() Metric
• Scikit-Learn roc_auc_score() Metric
• Scikit-Learn roc_curve() Metric
• Scikit-Learn root_mean_squared_error() Metric
• Scikit-Learn root_mean_squared_log_error() Metric
• Scikit-Learn root_mean_squared_log_error() Metric
• Scikit-Learn silhouette_samples() Metric
• Scikit-Learn silhouette_score() Metric
• Scikit-Learn top_k_accuracy_score() Metric
• Scikit-Learn v_measure_score() Metric
• Scikit-Learn zero_one_loss() Metric

mixture model

• Scikit-Learn BayesianGaussianMixture Model
• Scikit-Learn GaussianMixture Model

multi-class

• Configure LogisticRegression "multi_class" Parameter
• Scikit-Learn OneVsOneClassifier Model
• Scikit-Learn OneVsRestClassifier Model
• Scikit-Learn OutputCodeClassifier Model

multi-label

• Scikit-Learn "OneVsOneClassifier" versus "OneVsRestClassifier"
• Scikit-Learn ClassifierChain Model
• Scikit-Learn coverage_error() Metric
• Scikit-Learn hamming_loss() Metric
• Scikit-Learn label_ranking_average_precision_score() Metric
• Scikit-Learn label_ranking_loss() Metric
• Scikit-Learn multilabel_confusion_matrix() Metric
• Scikit-Learn MultiOutputClassifier Model

multi-output

• Scikit-Learn "MultiTaskElasticNet" versus "MultiTaskElasticNetCV"
• Scikit-Learn "MultiTaskLasso" versus "MultiTaskLassoCV"
• Scikit-Learn ClassifierChain Model
• Scikit-Learn GridSearchCV MultiTaskElasticNet
• Scikit-Learn GridSearchCV MultiTaskLasso
• Scikit-Learn MultiOutputClassifier Model
• Scikit-Learn MultiOutputRegressor Model
• Scikit-Learn MultiTaskElasticNet Model
• Scikit-Learn MultiTaskElasticNetCV Model
• Scikit-Learn MultiTaskLasso Model
• Scikit-Learn MultiTaskLassoCV Model
• Scikit-Learn RandomizedSearchCV MultiTaskElasticNet
• Scikit-Learn RandomizedSearchCV MultiTaskLasso
• Scikit-Learn RegressorChain Model

naive bayes

• Configure GaussianNB "priors" Parameter
• Configure GaussianNB "var_smoothing" Parameter
• Scikit-Learn "CategoricalNB" versus "MultinomialNB"
• Scikit-Learn BernoulliNB Model
• Scikit-Learn CategoricalNB Model
• Scikit-Learn ComplementNB Model
• Scikit-Learn GaussianNB Model
• Scikit-Learn GridSearchCV BernoulliNB
• Scikit-Learn GridSearchCV CategoricalNB
• Scikit-Learn GridSearchCV ComplementNB
• Scikit-Learn GridSearchCV GaussianNB
• Scikit-Learn GridSearchCV MultinomialNB
• Scikit-Learn MultinomialNB Model
• Scikit-Learn RandomizedSearchCV BernoulliNB
• Scikit-Learn RandomizedSearchCV CategoricalNB
• Scikit-Learn RandomizedSearchCV ComplementNB
• Scikit-Learn RandomizedSearchCV GaussianNB
• Scikit-Learn RandomizedSearchCV MultinomialNB

neural net

• Configure MLPClassifier "activation" Parameter
• Configure MLPClassifier "alpha" Parameter
• Configure MLPClassifier "batch_size" Parameter
• Configure MLPClassifier "beta_1" Parameter
• Configure MLPClassifier "beta_2" Parameter
• Configure MLPClassifier "early_stopping" Parameter
• Configure MLPClassifier "epsilon" Parameter
• Configure MLPClassifier "hidden_layer_sizes" Parameter
• Configure MLPClassifier "learning_rate_init" Parameter
• Configure MLPClassifier "learning_rate" Parameter
• Configure MLPClassifier "max_fun" Parameter
• Configure MLPClassifier "max_iter" Parameter
• Configure MLPClassifier "momentum" Parameter
• Configure MLPClassifier "n_iter_no_change" Parameter
• Configure MLPClassifier "nesterovs_momentum" Parameter
• Configure MLPClassifier "power_t" Parameter
• Configure MLPClassifier "random_state" Parameter
• Configure MLPClassifier "shuffle" Parameter
• Configure MLPClassifier "solver" Parameter
• Configure MLPClassifier "tol" Parameter
• Configure MLPClassifier "validation_fraction" Parameter
• Configure MLPClassifier "verbose" Parameter
• Configure MLPClassifier "warm_start" Parameter
• Configure MLPRegressor "activation" Parameter
• Configure MLPRegressor "alpha" Parameter
• Configure MLPRegressor "batch_size" Parameter
• Configure MLPRegressor "beta_1" Parameter
• Configure MLPRegressor "beta_2" Parameter
• Configure MLPRegressor "early_stopping" Parameter
• Configure MLPRegressor "epsilon" Parameter
• Configure MLPRegressor "hidden_layer_sizes" Parameter
• Configure MLPRegressor "learning_rate_init" Parameter
• Configure MLPRegressor "learning_rate" Parameter
• Configure MLPRegressor "max_iter" Parameter
• Configure MLPRegressor "momentum" Parameter
• Configure MLPRegressor "n_iter_no_change" Parameter
• Configure MLPRegressor "nesterovs_momentum" Parameter
• Configure MLPRegressor "power_t" Parameter
• Configure MLPRegressor "random_state" Parameter
• Configure MLPRegressor "shuffle" Parameter
• Configure MLPRegressor "solver" Parameter
• Configure MLPRegressor "tol" Parameter
• Configure MLPRegressor "validation_fraction" Parameter
• Configure MLPRegressor "verbose" Parameter
• Configure MLPRegressor "warm_start" Parameter
• Scikit-Learn BernoulliRBM Model
• Scikit-Learn GridSearchCV MLPClassifier
• Scikit-Learn GridSearchCV MLPRegressor
• Scikit-Learn MLPClassifier Model
• Scikit-Learn MLPRegressor Model
• Scikit-Learn RandomizedSearchCV MLPClassifier
• Scikit-Learn RandomizedSearchCV MLPRegressor
• Scikit-Learn RandomizedSearchCV Perceptron

outliers

• Scikit-Learn EllipticEnvelope Model
• Scikit-Learn HuberRegressor Model
• Scikit-Learn LocalOutlierFactor Model
• Scikit-Learn QuantileRegressor Model
• Scikit-Learn RANSACRegressor Model
• Scikit-Learn TheilSenRegressor Model

pairwise

• Scikit-Learn additive_chi2_kernel() Metric
• Scikit-Learn chi2_kernel() Metric
• Scikit-Learn cosine_distances() Metric
• Scikit-Learn cosine_similarity() Metric
• Scikit-Learn euclidean_distances() Metric
• Scikit-Learn haversine_distances() Metric
• Scikit-Learn laplacian_kernel() Metric
• Scikit-Learn linear_kernel() Metric
• Scikit-Learn manhattan_distances() Metric
• Scikit-Learn nan_euclidean_distances() Metric
• Scikit-Learn paired_cosine_distances() Metric
• Scikit-Learn paired_distances() Metric

parameters

• Configure AdaBoostClassifier "algorithm" Parameter
• Configure AdaBoostClassifier "estimator" Parameter
• Configure AdaBoostClassifier "learning_rate" Parameter
• Configure AdaBoostClassifier "n_estimators" Parameter
• Configure AdaBoostClassifier "random_state" Parameter
• Configure AdaBoostRegressor "estimator" Parameter
• Configure AdaBoostRegressor "learning_rate" Parameter
• Configure AdaBoostRegressor "loss" Parameter
• Configure AdaBoostRegressor "n_estimators" Parameter
• Configure AdaBoostRegressor "random_state" Parameter
• Configure BaggingClassifier "bootstrap_features" Parameter
• Configure BaggingClassifier "bootstrap" Parameter
• Configure BaggingClassifier "estimator" Parameter
• Configure BaggingClassifier "max_features" Parameter
• Configure BaggingClassifier "max_samples" Parameter
• Configure BaggingClassifier "n_estimators" Parameter
• Configure BaggingClassifier "n_jobs" Parameter
• Configure BaggingClassifier "oob_score" Parameter
• Configure BaggingClassifier "random_state" Parameter
• Configure BaggingClassifier "verbose" Parameter
• Configure BaggingClassifier "warm_start" Parameter
• Configure BaggingRegressor "bootstrap_features" Parameter
• Configure BaggingRegressor "bootstrap" Parameter
• Configure BaggingRegressor "estimator" Parameter
• Configure BaggingRegressor "max_features" Parameter
• Configure BaggingRegressor "max_samples" Parameter
• Configure BaggingRegressor "n_estimators" Parameter
• Configure BaggingRegressor "n_jobs" Parameter
• Configure BaggingRegressor "oob_score" Parameter
• Configure BaggingRegressor "random_state" Parameter
• Configure BaggingRegressor "verbose" Parameter
• Configure BaggingRegressor "warm_start" Parameter
• Configure DecisionTreeClassifier "ccp_alpha" Parameter
• Configure DecisionTreeClassifier "class_weight" Parameter
• Configure DecisionTreeClassifier "criterion" Parameter
• Configure DecisionTreeClassifier "max_depth" Parameter
• Configure DecisionTreeClassifier "max_leaf_nodes" Parameter
• Configure DecisionTreeClassifier "min_impurity_decrease" Parameter
• Configure DecisionTreeClassifier "min_samples_leaf" Parameter
• Configure DecisionTreeClassifier "min_samples_split" Parameter
• Configure DecisionTreeClassifier "min_weight_fraction_leaf" Parameter
• Configure DecisionTreeClassifier "monotonic_cst" Parameter
• Configure DecisionTreeClassifier "random_state" Parameter
• Configure DecisionTreeClassifier "splitter" Parameter
• Configure DecisionTreeRegressor "ccp_alpha" Parameter
• Configure DecisionTreeRegressor "criterion" Parameter
• Configure DecisionTreeRegressor "max_depth" Parameter
• Configure DecisionTreeRegressor "max_features" Parameter
• Configure DecisionTreeRegressor "max_leaf_nodes" Parameter
• Configure DecisionTreeRegressor "min_impurity_decrease" Parameter
• Configure DecisionTreeRegressor "min_samples_leaf" Parameter
• Configure DecisionTreeRegressor "min_samples_split" Parameter
• Configure DecisionTreeRegressor "min_weight_fraction_leaf" Parameter
• Configure DecisionTreeRegressor "monotonic_cst" Parameter
• Configure DecisionTreeRegressor "random_state" Parameter
• Configure DecisionTreeRegressor "splitter" Parameter
• Configure ElasticNet "alpha" Parameter
• Configure ElasticNet "copy_X" Parameter
• Configure ElasticNet "fit_intercept" Parameter
• Configure ElasticNet "l1_ratio" Parameter
• Configure ElasticNet "max_iter" Parameter
• Configure ElasticNet "positive" Parameter
• Configure ElasticNet "precompute" Parameter
• Configure ElasticNet "random_state" Parameter
• Configure ElasticNet "selection" Parameter
• Configure ElasticNet "tol" Parameter
• Configure ElasticNet "warm_start" Parameter
• Configure ExtraTreesClassifier "bootstrap" Parameter
• Configure ExtraTreesClassifier "ccp_alpha" Parameter
• Configure ExtraTreesClassifier "class_weight" Parameter
• Configure ExtraTreesClassifier "criterion" Parameter
• Configure ExtraTreesClassifier "max_depth" Parameter
• Configure ExtraTreesClassifier "max_features" Parameter
• Configure ExtraTreesClassifier "max_leaf_nodes" Parameter
• Configure ExtraTreesClassifier "max_samples" Parameter
• Configure ExtraTreesClassifier "min_impurity_decrease" Parameter
• Configure ExtraTreesClassifier "min_samples_leaf" Parameter
• Configure ExtraTreesClassifier "min_samples_split" Parameter
• Configure ExtraTreesClassifier "min_weight_fraction_leaf" Parameter
• Configure ExtraTreesClassifier "monotonic_cst" Parameter
• Configure ExtraTreesClassifier "n_estimators" Parameter
• Configure ExtraTreesClassifier "n_jobs" Parameter
• Configure ExtraTreesClassifier "oob_score" Parameter
• Configure ExtraTreesClassifier "random_state" Parameter
• Configure ExtraTreesClassifier "verbose" Parameter
• Configure ExtraTreesClassifier "warm_start" Parameter
• Configure ExtraTreesRegressor "bootstrap" Parameter
• Configure ExtraTreesRegressor "ccp_alpha" Parameter
• Configure ExtraTreesRegressor "criterion" Parameter
• Configure ExtraTreesRegressor "max_depth" Parameter
• Configure ExtraTreesRegressor "max_leaf_nodes" Parameter
• Configure ExtraTreesRegressor "max_samples" Parameter
• Configure ExtraTreesRegressor "min_impurity_decrease" Parameter
• Configure ExtraTreesRegressor "min_samples_leaf" Parameter
• Configure ExtraTreesRegressor "min_samples_split" Parameter
• Configure ExtraTreesRegressor "min_weight_fraction_leaf" Parameter
• Configure ExtraTreesRegressor "monotonic_cst" Parameter
• Configure ExtraTreesRegressor "n_estimators" Parameter
• Configure ExtraTreesRegressor "n_jobs" Parameter
• Configure ExtraTreesRegressor "oob_score" Parameter
• Configure ExtraTreesRegressor "random_state" Parameter
• Configure ExtraTreesRegressor "verbose" Parameter
• Configure ExtraTreesRegressor "warm_start" Parameter
• Configure GaussianNB "priors" Parameter
• Configure GaussianNB "var_smoothing" Parameter
• Configure GradientBoostingClassifier "ccp_alpha" Parameter
• Configure GradientBoostingClassifier "criterion" Parameter
• Configure GradientBoostingClassifier "init" Parameter
• Configure GradientBoostingClassifier "learning_rate" Parameter
• Configure GradientBoostingClassifier "loss" Parameter
• Configure GradientBoostingClassifier "max_depth" Parameter
• Configure GradientBoostingClassifier "max_features" Parameter
• Configure GradientBoostingClassifier "max_leaf_nodes" Parameter
• Configure GradientBoostingClassifier "min_impurity_decrease" Parameter
• Configure GradientBoostingClassifier "min_samples_leaf" Parameter
• Configure GradientBoostingClassifier "min_samples_split" Parameter
• Configure GradientBoostingClassifier "min_weight_fraction_leaf" Parameter
• Configure GradientBoostingClassifier "n_estimators" Parameter
• Configure GradientBoostingClassifier "n_iter_no_change" Parameter
• Configure GradientBoostingClassifier "random_state" Parameter
• Configure GradientBoostingClassifier "subsample" Parameter
• Configure GradientBoostingClassifier "tol" Parameter
• Configure GradientBoostingClassifier "validation_fraction" Parameter
• Configure GradientBoostingClassifier "verbose" Parameter
• Configure GradientBoostingClassifier "warm_start" Parameter
• Configure GradientBoostingRegressor "alpha" Parameter
• Configure GradientBoostingRegressor "ccp_alpha" Parameter
• Configure GradientBoostingRegressor "criterion" Parameter
• Configure GradientBoostingRegressor "init" Parameter
• Configure GradientBoostingRegressor "learning_rate" Parameter
• Configure GradientBoostingRegressor "loss" Parameter
• Configure GradientBoostingRegressor "max_depth" Parameter
• Configure GradientBoostingRegressor "max_features" Parameter
• Configure GradientBoostingRegressor "max_leaf_nodes" Parameter
• Configure GradientBoostingRegressor "min_impurity_decrease" Parameter
• Configure GradientBoostingRegressor "min_samples_leaf" Parameter
• Configure GradientBoostingRegressor "min_samples_split" Parameter
• Configure GradientBoostingRegressor "min_weight_fraction_leaf" Parameter
• Configure GradientBoostingRegressor "n_estimators" Parameter
• Configure GradientBoostingRegressor "n_iter_no_change" Parameter
• Configure GradientBoostingRegressor "random_state" Parameter
• Configure GradientBoostingRegressor "subsample" Parameter
• Configure GradientBoostingRegressor "tol" Parameter
• Configure GradientBoostingRegressor "validation_fraction" Parameter
• Configure GradientBoostingRegressor "verbose" Parameter
• Configure GradientBoostingRegressor "warm_start" Parameter
• Configure HistGradientBoostingClassifier "categorical_features" Parameter
• Configure HistGradientBoostingClassifier "class_weight" Parameter
• Configure HistGradientBoostingClassifier "early_stopping" Parameter
• Configure HistGradientBoostingClassifier "interaction_cst" Parameter
• Configure HistGradientBoostingClassifier "l2_regularization" Parameter
• Configure HistGradientBoostingClassifier "learning_rate" Parameter
• Configure HistGradientBoostingClassifier "loss" Parameter
• Configure HistGradientBoostingClassifier "max_bins" Parameter
• Configure HistGradientBoostingClassifier "max_depth" Parameter
• Configure HistGradientBoostingClassifier "max_features" Parameter
• Configure HistGradientBoostingClassifier "max_iter" Parameter
• Configure HistGradientBoostingClassifier "max_leaf_nodes" Parameter
• Configure HistGradientBoostingClassifier "min_samples_leaf" Parameter
• Configure HistGradientBoostingClassifier "monotonic_cst" Parameter
• Configure HistGradientBoostingClassifier "n_iter_no_change" Parameter
• Configure HistGradientBoostingClassifier "random_state" Parameter
• Configure HistGradientBoostingClassifier "scoring" Parameter
• Configure HistGradientBoostingClassifier "tol" Parameter
• Configure HistGradientBoostingClassifier "validation_fraction" Parameter
• Configure HistGradientBoostingClassifier "verbose" Parameter
• Configure HistGradientBoostingClassifier "warm_start" Parameter
• Configure HistGradientBoostingRegressor "categorical_features" Parameter
• Configure HistGradientBoostingRegressor "early_stopping" Parameter
• Configure HistGradientBoostingRegressor "interaction_cst" Parameter
• Configure HistGradientBoostingRegressor "l2_regularization" Parameter
• Configure HistGradientBoostingRegressor "learning_rate" Parameter
• Configure HistGradientBoostingRegressor "loss" Parameter
• Configure HistGradientBoostingRegressor "max_bins" Parameter
• Configure HistGradientBoostingRegressor "max_depth" Parameter
• Configure HistGradientBoostingRegressor "max_features" Parameter
• Configure HistGradientBoostingRegressor "max_iter" Parameter
• Configure HistGradientBoostingRegressor "max_leaf_nodes" Parameter
• Configure HistGradientBoostingRegressor "min_samples_leaf" Parameter
• Configure HistGradientBoostingRegressor "monotonic_cst" Parameter
• Configure HistGradientBoostingRegressor "n_iter_no_change" Parameter
• Configure HistGradientBoostingRegressor "quantile" Parameter
• Configure HistGradientBoostingRegressor "random_state" Parameter
• Configure HistGradientBoostingRegressor "scoring" Parameter
• Configure HistGradientBoostingRegressor "tol" Parameter
• Configure HistGradientBoostingRegressor "validation_fraction" Parameter
• Configure HistGradientBoostingRegressor "verbose" Parameter
• Configure HistGradientBoostingRegressor "warm_start" Parameter
• Configure KNeighborsClassifier "algorithm" Parameter
• Configure KNeighborsClassifier "leaf_size" Parameter
• Configure KNeighborsClassifier "metric_params" Parameter
• Configure KNeighborsClassifier "metric" Parameter
• Configure KNeighborsClassifier "n_jobs" Parameter
• Configure KNeighborsClassifier "n_neighbors" Parameter
• Configure KNeighborsClassifier "p" Parameter
• Configure KNeighborsClassifier "weights" Parameter
• Configure KNeighborsRegressor "algorithm" Parameter
• Configure KNeighborsRegressor "leaf_size" Parameter
• Configure KNeighborsRegressor "metric_params" Parameter
• Configure KNeighborsRegressor "metric" Parameter
• Configure KNeighborsRegressor "n_jobs" Parameter
• Configure KNeighborsRegressor "n_neighbors" Parameter
• Configure KNeighborsRegressor "p" Parameter
• Configure KNeighborsRegressor "weights" Parameter
• Configure Lasso "alpha" Parameter
• Configure Lasso "copy_X" Parameter
• Configure Lasso "fit_intercept" Parameter
• Configure Lasso "max_iter" Parameter
• Configure Lasso "positive" Parameter
• Configure Lasso "precompute" Parameter
• Configure Lasso "random_state" Parameter
• Configure Lasso "selection" Parameter
• Configure Lasso "tol" Parameter
• Configure Lasso "warm_start" Parameter
• Configure LinearDiscriminantAnalysis "covariance_estimator" Parameter
• Configure LinearDiscriminantAnalysis "n_components" Parameter
• Configure LinearDiscriminantAnalysis "priors" Parameter
• Configure LinearDiscriminantAnalysis "shrinkage" Parameter
• Configure LinearDiscriminantAnalysis "solver" Parameter
• Configure LinearDiscriminantAnalysis "store_covariance" Parameter
• Configure LinearDiscriminantAnalysis "tol" Parameter
• Configure LinearRegression "copy_X" Parameter
• Configure LinearRegression "fit_intercept" Parameter
• Configure LinearRegression "n_jobs" Parameter
• Configure LinearRegression "positive" Parameter
• Configure LogisticRegression "C" Parameter
• Configure LogisticRegression "class_weight" Parameter
• Configure LogisticRegression "dual" Parameter
• Configure LogisticRegression "fit_intercept" Parameter
• Configure LogisticRegression "intercept_scaling" Parameter
• Configure LogisticRegression "l1_ratio" Parameter
• Configure LogisticRegression "max_iter" Parameter
• Configure LogisticRegression "multi_class" Parameter
• Configure LogisticRegression "n_jobs" Parameter
• Configure LogisticRegression "penalty" Parameter
• Configure LogisticRegression "random_state" Parameter
• Configure LogisticRegression "solver" Parameter
• Configure LogisticRegression "tol" Parameter
• Configure LogisticRegression "verbose" Parameter
• Configure LogisticRegression "warm_start" Parameter
• Configure MLPClassifier "activation" Parameter
• Configure MLPClassifier "alpha" Parameter
• Configure MLPClassifier "batch_size" Parameter
• Configure MLPClassifier "beta_1" Parameter
• Configure MLPClassifier "beta_2" Parameter
• Configure MLPClassifier "early_stopping" Parameter
• Configure MLPClassifier "epsilon" Parameter
• Configure MLPClassifier "hidden_layer_sizes" Parameter
• Configure MLPClassifier "learning_rate_init" Parameter
• Configure MLPClassifier "learning_rate" Parameter
• Configure MLPClassifier "max_fun" Parameter
• Configure MLPClassifier "max_iter" Parameter
• Configure MLPClassifier "momentum" Parameter
• Configure MLPClassifier "n_iter_no_change" Parameter
• Configure MLPClassifier "nesterovs_momentum" Parameter
• Configure MLPClassifier "power_t" Parameter
• Configure MLPClassifier "random_state" Parameter
• Configure MLPClassifier "shuffle" Parameter
• Configure MLPClassifier "solver" Parameter
• Configure MLPClassifier "tol" Parameter
• Configure MLPClassifier "validation_fraction" Parameter
• Configure MLPClassifier "verbose" Parameter
• Configure MLPClassifier "warm_start" Parameter
• Configure MLPRegressor "activation" Parameter
• Configure MLPRegressor "alpha" Parameter
• Configure MLPRegressor "batch_size" Parameter
• Configure MLPRegressor "beta_1" Parameter
• Configure MLPRegressor "beta_2" Parameter
• Configure MLPRegressor "early_stopping" Parameter
• Configure MLPRegressor "epsilon" Parameter
• Configure MLPRegressor "hidden_layer_sizes" Parameter
• Configure MLPRegressor "learning_rate_init" Parameter
• Configure MLPRegressor "learning_rate" Parameter
• Configure MLPRegressor "max_iter" Parameter
• Configure MLPRegressor "momentum" Parameter
• Configure MLPRegressor "n_iter_no_change" Parameter
• Configure MLPRegressor "nesterovs_momentum" Parameter
• Configure MLPRegressor "power_t" Parameter
• Configure MLPRegressor "random_state" Parameter
• Configure MLPRegressor "shuffle" Parameter
• Configure MLPRegressor "solver" Parameter
• Configure MLPRegressor "tol" Parameter
• Configure MLPRegressor "validation_fraction" Parameter
• Configure MLPRegressor "verbose" Parameter
• Configure MLPRegressor "warm_start" Parameter
• Configure QuadraticDiscriminantAnalysis "priors" Parameter
• Configure QuadraticDiscriminantAnalysis "reg_param" Parameter
• Configure QuadraticDiscriminantAnalysis "tol" Parameter
• Configure RandomForestClassifier "bootstrap" Parameter
• Configure RandomForestClassifier "ccp_alpha" Parameter
• Configure RandomForestClassifier "class_weight" Parameter
• Configure RandomForestClassifier "criterion" Parameter
• Configure RandomForestClassifier "max_depth" Parameter
• Configure RandomForestClassifier "max_features" Parameter
• Configure RandomForestClassifier "max_samples" Parameter
• Configure RandomForestClassifier "min_impurity_decrease" Parameter
• Configure RandomForestClassifier "min_samples_leaf" Parameter
• Configure RandomForestClassifier "min_samples_split" Parameter
• Configure RandomForestClassifier "min_weight_fraction_leaf" Parameter
• Configure RandomForestClassifier "monotonic_cst" Parameter
• Configure RandomForestClassifier "n_estimators" Parameter
• Configure RandomForestClassifier "n_jobs" Parameter
• Configure RandomForestClassifier "oob_score" Parameter
• Configure RandomForestClassifier "random_state" Parameter
• Configure RandomForestClassifier "verbose" Parameter
• Configure RandomForestClassifier "warm_start" Parameter
• Configure RandomForestRegressor "bootstrap" Parameter
• Configure RandomForestRegressor "ccp_alpha" Parameter
• Configure RandomForestRegressor "criterion" Parameter
• Configure RandomForestRegressor "max_depth" Parameter
• Configure RandomForestRegressor "max_features" Parameter
• Configure RandomForestRegressor "max_leaf_nodes" Parameter
• Configure RandomForestRegressor "max_samples" Parameter
• Configure RandomForestRegressor "min_impurity_decrease" Parameter
• Configure RandomForestRegressor "min_samples_leaf" Parameter
• Configure RandomForestRegressor "min_samples_split" Parameter
• Configure RandomForestRegressor "min_weight_fraction_leaf" Parameter
• Configure RandomForestRegressor "monotonic_cst" Parameter
• Configure RandomForestRegressor "n_estimators" Parameter
• Configure RandomForestRegressor "n_jobs" Parameter
• Configure RandomForestRegressor "oob_score" Parameter
• Configure RandomForestRegressor "random_state" Parameter
• Configure RandomForestRegressor "verbose" Parameter
• Configure RandomForestRegressor "warm_start" Parameter
• Configure Ridge "alpha" Parameter
• Configure Ridge "copy_X" Parameter
• Configure Ridge "fit_intercept" Parameter
• Configure Ridge "max_iter" Parameter
• Configure Ridge "positive" Parameter
• Configure Ridge "random_state" Parameter
• Configure Ridge "solver" Parameter
• Configure Ridge "tol" Parameter
• Configure SGDClassifier "alpha" Parameter
• Configure SGDClassifier "average" Parameter
• Configure SGDClassifier "class_weight" Parameter
• Configure SGDClassifier "early_stopping" Parameter
• Configure SGDClassifier "epsilon" Parameter
• Configure SGDClassifier "eta0" Parameter
• Configure SGDClassifier "fit_intercept" Parameter
• Configure SGDClassifier "l1_ratio" Parameter
• Configure SGDClassifier "learning_rate" Parameter
• Configure SGDClassifier "loss" Parameter
• Configure SGDClassifier "max_iter" Parameter
• Configure SGDClassifier "n_iter_no_change" Parameter
• Configure SGDClassifier "n_jobs" Parameter
• Configure SGDClassifier "penalty" Parameter
• Configure SGDClassifier "power_t" Parameter
• Configure SGDClassifier "random_state" Parameter
• Configure SGDClassifier "shuffle" Parameter
• Configure SGDClassifier "tol" Parameter
• Configure SGDClassifier "validation_fraction" Parameter
• Configure SGDClassifier "verbose" Parameter
• Configure SGDClassifier "warm_start" Parameter
• Configure SGDRegressor "alpha" Parameter
• Configure SGDRegressor "average" Parameter
• Configure SGDRegressor "early_stopping" Parameter
• Configure SGDRegressor "epsilon" Parameter
• Configure SGDRegressor "eta0" Parameter
• Configure SGDRegressor "fit_intercept" Parameter
• Configure SGDRegressor "l1_ratio" Parameter
• Configure SGDRegressor "learning_rate" Parameter
• Configure SGDRegressor "loss" Parameter
• Configure SGDRegressor "max_iter" Parameter
• Configure SGDRegressor "n_iter_no_change" Parameter
• Configure SGDRegressor "penalty" Parameter
• Configure SGDRegressor "power_t" Parameter
• Configure SGDRegressor "random_state" Parameter
• Configure SGDRegressor "shuffle" Parameter
• Configure SGDRegressor "tol" Parameter
• Configure SGDRegressor "validation_fraction" Parameter
• Configure SGDRegressor "verbose" Parameter
• Configure SGDRegressor "warm_start" Parameter
• Configure StackingClassifier "cv" Parameter
• Configure StackingClassifier "estimators" Parameter
• Configure StackingClassifier "final_estimator" Parameter
• Configure StackingClassifier "n_jobs" Parameter
• Configure StackingClassifier "passthrough" Parameter
• Configure StackingClassifier "stack_method" Parameter
• Configure StackingClassifier "verbose" Parameter
• Configure StackingRegressor "cv" Parameter
• Configure StackingRegressor "estimators" Parameter
• Configure StackingRegressor "final_estimator" Parameter
• Configure StackingRegressor "n_jobs" Parameter
• Configure StackingRegressor "passthrough" Parameter
• Configure StackingRegressor "verbose" Parameter
• Configure SVC "break_ties" Parameter
• Configure SVC "C" Parameter
• Configure SVC "cache_size" Parameter
• Configure SVC "class_weight" Parameter
• Configure SVC "coef0" Parameter
• Configure SVC "decision_function_shape" Parameter
• Configure SVC "degree" Parameter
• Configure SVC "gamma" Parameter
• Configure SVC "kernel" Parameter
• Configure SVC "max_iter" Parameter
• Configure SVC "probability" Parameter
• Configure SVC "random_state" Parameter
• Configure SVC "shrinking" Parameter
• Configure SVC "tol" Parameter
• Configure SVC "verbose" Parameter
• Configure SVR "C" Parameter
• Configure SVR "cache_size" Parameter
• Configure SVR "coef0" Parameter
• Configure SVR "degree" Parameter
• Configure SVR "epsilon" Parameter
• Configure SVR "gamma" Parameter
• Configure SVR "kernel" Parameter
• Configure SVR "max_iter" Parameter
• Configure SVR "shrinking" Parameter
• Configure SVR "tol" Parameter
• Configure SVR "verbose" Parameter
• Configure VotingClassifier "estimators" Parameter
• Configure VotingClassifier "flatten_transform" Parameter
• Configure VotingClassifier "n_jobs" Parameter
• Configure VotingClassifier "verbose" Parameter
• Configure VotingClassifier "voting" Parameter
• Configure VotingClassifier "weights" Parameter
• Configure VotingRegressor "estimators" Parameter
• Configure VotingRegressor "n_jobs" Parameter
• Configure VotingRegressor "verbose" Parameter
• Configure VotingRegressor "weights" Parameter
• Scikit-Learn Configure GridSearchCV "cv" Parameter
• Scikit-Learn Configure GridSearchCV "error_score" Parameter
• Scikit-Learn Configure GridSearchCV "estimator" Parameter
• Scikit-Learn Configure GridSearchCV "n_jobs" Parameter
• Scikit-Learn Configure GridSearchCV "param_grid" Parameter
• Scikit-Learn Configure GridSearchCV "pre_dispatch" Parameter
• Scikit-Learn Configure GridSearchCV "refit" Parameter
• Scikit-Learn Configure GridSearchCV "return_train_score" Parameter
• Scikit-Learn Configure GridSearchCV "scoring" Parameter
• Scikit-Learn Configure GridSearchCV "verbose" Parameter
• Scikit-Learn Configure RandomizedSearchCV "cv" Parameter
• Scikit-Learn Configure RandomizedSearchCV "error_score" Parameter
• Scikit-Learn Configure RandomizedSearchCV "estimator" Parameter
• Scikit-Learn Configure RandomizedSearchCV "n_iter" Parameter
• Scikit-Learn Configure RandomizedSearchCV "n_jobs" Parameter
• Scikit-Learn Configure RandomizedSearchCV "param_distributions" Parameter
• Scikit-Learn Configure RandomizedSearchCV "pre_dispatch" Parameter
• Scikit-Learn Configure RandomizedSearchCV "random_state" Parameter
• Scikit-Learn Configure RandomizedSearchCV "refit" Parameter
• Scikit-Learn Configure RandomizedSearchCV "return_train_score" Parameter
• Scikit-Learn Configure RandomizedSearchCV "scoring" Parameter
• Scikit-Learn Configure RandomizedSearchCV "verbose" Parameter

pipeline

• Scikit-Learn FeatureUnion for Pipelines
• Scikit-Learn make_pipeline()
• Scikit-Learn make_union() for Pipelines
• Scikit-Learn Pipeline

plot

• Scikit-Learn det_curve() Metric
• Scikit-Learn learning_curve() to Evaluate Models
• Scikit-Learn precision_recall_curve() Metric
• Scikit-Learn roc_curve() Metric
• Scikit-Learn validation_curve() to Evaluate Models

projection

• Scikit-Learn GaussianRandomProjection for Dimensionality Reduction
• Scikit-Learn SparseRandomProjection for Dimensionality Reduction

random forest

• Configure RandomForestClassifier "bootstrap" Parameter
• Configure RandomForestClassifier "ccp_alpha" Parameter
• Configure RandomForestClassifier "class_weight" Parameter
• Configure RandomForestClassifier "criterion" Parameter
• Configure RandomForestClassifier "max_depth" Parameter
• Configure RandomForestClassifier "max_features" Parameter
• Configure RandomForestClassifier "max_samples" Parameter
• Configure RandomForestClassifier "min_impurity_decrease" Parameter
• Configure RandomForestClassifier "min_samples_leaf" Parameter
• Configure RandomForestClassifier "min_samples_split" Parameter
• Configure RandomForestClassifier "min_weight_fraction_leaf" Parameter
• Configure RandomForestClassifier "monotonic_cst" Parameter
• Configure RandomForestClassifier "n_estimators" Parameter
• Configure RandomForestClassifier "n_jobs" Parameter
• Configure RandomForestClassifier "oob_score" Parameter
• Configure RandomForestClassifier "random_state" Parameter
• Configure RandomForestClassifier "verbose" Parameter
• Configure RandomForestClassifier "warm_start" Parameter
• Configure RandomForestRegressor "bootstrap" Parameter
• Configure RandomForestRegressor "ccp_alpha" Parameter
• Configure RandomForestRegressor "criterion" Parameter
• Configure RandomForestRegressor "max_depth" Parameter
• Configure RandomForestRegressor "max_features" Parameter
• Configure RandomForestRegressor "max_leaf_nodes" Parameter
• Configure RandomForestRegressor "max_samples" Parameter
• Configure RandomForestRegressor "min_impurity_decrease" Parameter
• Configure RandomForestRegressor "min_samples_leaf" Parameter
• Configure RandomForestRegressor "min_samples_split" Parameter
• Configure RandomForestRegressor "min_weight_fraction_leaf" Parameter
• Configure RandomForestRegressor "monotonic_cst" Parameter
• Configure RandomForestRegressor "n_estimators" Parameter
• Configure RandomForestRegressor "n_jobs" Parameter
• Configure RandomForestRegressor "oob_score" Parameter
• Configure RandomForestRegressor "random_state" Parameter
• Configure RandomForestRegressor "verbose" Parameter
• Configure RandomForestRegressor "warm_start" Parameter
• Get RandomForestClassifier "classes_" Attribute
• Get RandomForestClassifier "estimator_" Attribute
• Get RandomForestClassifier "estimators_" Attribute
• Get RandomForestClassifier "feature_names_in_" Attribute
• Get RandomForestClassifier "n_classes_" Attribute
• Get RandomForestClassifier "n_features_in_" Attribute
• Get RandomForestClassifier "n_outputs_" Attribute
• Get RandomForestClassifier "oob_decision_function_" Attribute
• Get RandomForestClassifier "oob_score_" Attribute
• Scikit-Learn GridSearchCV RandomForestClassifier
• Scikit-Learn GridSearchCV RandomForestRegressor
• Scikit-Learn RandomForestClassifier Model
• Scikit-Learn RandomForestRegressor Model
• Scikit-Learn RandomizedSearchCV RandomForestClassifier
• Scikit-Learn RandomizedSearchCV RandomForestRegressor

random search

• Scikit-Learn "GridSearchCV" versus "RandomizedSearchCV"
• Scikit-Learn Configure RandomizedSearchCV "cv" Parameter
• Scikit-Learn Configure RandomizedSearchCV "error_score" Parameter
• Scikit-Learn Configure RandomizedSearchCV "estimator" Parameter
• Scikit-Learn Configure RandomizedSearchCV "n_iter" Parameter
• Scikit-Learn Configure RandomizedSearchCV "n_jobs" Parameter
• Scikit-Learn Configure RandomizedSearchCV "param_distributions" Parameter
• Scikit-Learn Configure RandomizedSearchCV "pre_dispatch" Parameter
• Scikit-Learn Configure RandomizedSearchCV "random_state" Parameter
• Scikit-Learn Configure RandomizedSearchCV "refit" Parameter
• Scikit-Learn Configure RandomizedSearchCV "return_train_score" Parameter
• Scikit-Learn Configure RandomizedSearchCV "scoring" Parameter
• Scikit-Learn Configure RandomizedSearchCV "verbose" Parameter
• Scikit-Learn Get RandomizedSearchCV "best_estimator_" Attribute
• Scikit-Learn Get RandomizedSearchCV "best_index_" Attribute
• Scikit-Learn Get RandomizedSearchCV "best_params_" Attribute
• Scikit-Learn Get RandomizedSearchCV "best_score_" Attribute
• Scikit-Learn Get RandomizedSearchCV "cv_results_" Attribute
• Scikit-Learn Get RandomizedSearchCV "feature_names_in_" Attribute
• Scikit-Learn Get RandomizedSearchCV "multimetric_" Attribute
• Scikit-Learn Get RandomizedSearchCV "n_splits_" Attribute
• Scikit-Learn Get RandomizedSearchCV "refit_time_" Attribute
• Scikit-Learn Get RandomizedSearchCV "scorer_" Attribute
• Scikit-Learn RandomizedSearchCV AdaBoostClassifier
• Scikit-Learn RandomizedSearchCV AdaBoostRegressor
• Scikit-Learn RandomizedSearchCV ARDRegression
• Scikit-Learn RandomizedSearchCV BaggingClassifier
• Scikit-Learn RandomizedSearchCV BaggingRegressor
• Scikit-Learn RandomizedSearchCV BayesianRidge
• Scikit-Learn RandomizedSearchCV BernoulliNB
• Scikit-Learn RandomizedSearchCV CategoricalNB
• Scikit-Learn RandomizedSearchCV ComplementNB
• Scikit-Learn RandomizedSearchCV DecisionTreeClassifier
• Scikit-Learn RandomizedSearchCV DecisionTreeRegressor
• Scikit-Learn RandomizedSearchCV ElasticNet
• Scikit-Learn RandomizedSearchCV ExtraTreeClassifier
• Scikit-Learn RandomizedSearchCV ExtraTreeRegressor
• Scikit-Learn RandomizedSearchCV ExtraTreesClassifier
• Scikit-Learn RandomizedSearchCV ExtraTreesRegressor
• Scikit-Learn RandomizedSearchCV GammaRegressor
• Scikit-Learn RandomizedSearchCV GaussianNB
• Scikit-Learn RandomizedSearchCV GaussianProcessClassifier
• Scikit-Learn RandomizedSearchCV GaussianProcessRegressor
• Scikit-Learn RandomizedSearchCV GradientBoostingClassifier
• Scikit-Learn RandomizedSearchCV GradientBoostingRegressor
• Scikit-Learn RandomizedSearchCV HistGradientBoostingClassifier
• Scikit-Learn RandomizedSearchCV HistGradientBoostingRegressor
• Scikit-Learn RandomizedSearchCV HuberRegressor
• Scikit-Learn RandomizedSearchCV KernelRidge
• Scikit-Learn RandomizedSearchCV KNeighborsClassifier
• Scikit-Learn RandomizedSearchCV KNeighborsRegressor
• Scikit-Learn RandomizedSearchCV LabelPropagation
• Scikit-Learn RandomizedSearchCV LabelSpreading
• Scikit-Learn RandomizedSearchCV Lars
• Scikit-Learn RandomizedSearchCV Lasso
• Scikit-Learn RandomizedSearchCV LassoLars
• Scikit-Learn RandomizedSearchCV LassoLarsIC
• Scikit-Learn RandomizedSearchCV LinearDiscriminantAnalysis
• Scikit-Learn RandomizedSearchCV LinearRegression
• Scikit-Learn RandomizedSearchCV LinearSVC
• Scikit-Learn RandomizedSearchCV LinearSVR
• Scikit-Learn RandomizedSearchCV LogisticRegression
• Scikit-Learn RandomizedSearchCV MLPClassifier
• Scikit-Learn RandomizedSearchCV MLPRegressor
• Scikit-Learn RandomizedSearchCV MultinomialNB
• Scikit-Learn RandomizedSearchCV MultiTaskElasticNet
• Scikit-Learn RandomizedSearchCV MultiTaskLasso
• Scikit-Learn RandomizedSearchCV NearestCentroid
• Scikit-Learn RandomizedSearchCV NuSVC
• Scikit-Learn RandomizedSearchCV NuSVR
• Scikit-Learn RandomizedSearchCV OrthogonalMatchingPursuit
• Scikit-Learn RandomizedSearchCV PassiveAggressiveClassifier
• Scikit-Learn RandomizedSearchCV PassiveAggressiveRegressor
• Scikit-Learn RandomizedSearchCV Perceptron
• Scikit-Learn RandomizedSearchCV PLSRegression
• Scikit-Learn RandomizedSearchCV PoissonRegressor
• Scikit-Learn RandomizedSearchCV QuadraticDiscriminantAnalysis
• Scikit-Learn RandomizedSearchCV QuantileRegressor
• Scikit-Learn RandomizedSearchCV RandomForestClassifier
• Scikit-Learn RandomizedSearchCV RandomForestRegressor
• Scikit-Learn RandomizedSearchCV RANSACRegressor
• Scikit-Learn RandomizedSearchCV Ridge
• Scikit-Learn RandomizedSearchCV RidgeClassifier
• Scikit-Learn RandomizedSearchCV SelfTrainingClassifier
• Scikit-Learn RandomizedSearchCV SGDClassifier
• Scikit-Learn RandomizedSearchCV SGDRegressor
• Scikit-Learn RandomizedSearchCV StackingClassifier
• Scikit-Learn RandomizedSearchCV StackingRegressor
• Scikit-Learn RandomizedSearchCV SVC
• Scikit-Learn RandomizedSearchCV SVR
• Scikit-Learn RandomizedSearchCV TheilSenRegressor
• Scikit-Learn RandomizedSearchCV TweedieRegressor
• Scikit-Learn RandomizedSearchCV VotingClassifier
• Scikit-Learn RandomizedSearchCV VotingRegressor

rank

• Scikit-Learn coverage_error() Metric
• Scikit-Learn label_ranking_average_precision_score() Metric
• Scikit-Learn label_ranking_loss() Metric
• Scikit-Learn ndcg_score() Metric

regression

• Scikit-Learn AdaBoostRegressor Model
• Scikit-Learn ARDRegression Model
• Scikit-Learn BaggingRegressor Model
• Scikit-Learn BayesianRidge Regression Model
• Scikit-Learn d2_pinball_score() Metric
• Scikit-Learn d2_tweedie_score() Metric
• Scikit-Learn DecisionTreeRegressor Model
• Scikit-Learn ElasticNet Regression Model
• Scikit-Learn ElasticNetCV Regression Model
• Scikit-Learn explained_variance_score() Metric
• Scikit-Learn ExtraTreeRegressor Model
• Scikit-Learn ExtraTreesRegressor Model
• Scikit-Learn GammaRegressor Model
• Scikit-Learn GaussianProcessRegressor Model
• Scikit-Learn GradientBoostingRegressor Model
• Scikit-Learn HistGradientBoostingRegressor Model
• Scikit-Learn HuberRegressor Model
• Scikit-Learn IsotonicRegression Model
• Scikit-Learn KernelRidge Regression Model
• Scikit-Learn KNeighborsRegressor Model
• Scikit-Learn Lars Regression Model
• Scikit-Learn LarsCV Regression Model
• Scikit-Learn Lasso Regression Model
• Scikit-Learn LassoCV Regression Model
• Scikit-Learn LassoLars Regression Model
• Scikit-Learn LassoLarsCV Regression Model
• Scikit-Learn LassoLarsIC Regression Model
• Scikit-Learn LinearRegression Model
• Scikit-Learn LinearSVR Model
• Scikit-Learn max_error() Metric
• Scikit-Learn mean_absolute_error() Metric
• Scikit-Learn mean_absolute_percentage_error() Metric
• Scikit-Learn mean_pinball_loss() Metric
• Scikit-Learn mean_poisson_deviance() Metric
• Scikit-Learn mean_squared_error() Metric
• Scikit-Learn mean_squared_log_error() Metric
• Scikit-Learn mean_tweedie_deviance() Metric
• Scikit-Learn median_absolute_error() Metric
• Scikit-Learn MLPRegressor Model
• Scikit-Learn MultiOutputRegressor Model
• Scikit-Learn MultiTaskElasticNet Model
• Scikit-Learn MultiTaskElasticNetCV Model
• Scikit-Learn MultiTaskLasso Model
• Scikit-Learn MultiTaskLassoCV Model
• Scikit-Learn NuSVR Model
• Scikit-Learn OrthogonalMatchingPursuit Model
• Scikit-Learn OrthogonalMatchingPursuitCV Model
• Scikit-Learn PassiveAggressiveRegressor Model
• Scikit-Learn PLSRegression Model
• Scikit-Learn PoissonRegressor Model
• Scikit-Learn QuantileRegressor Model
• Scikit-Learn r2_score() Metric
• Scikit-Learn RadiusNeighborsRegressor Model
• Scikit-Learn RandomForestRegressor Model
• Scikit-Learn RANSACRegressor Model
• Scikit-Learn RegressorChain Model
• Scikit-Learn Ridge Regression Model
• Scikit-Learn RidgeCV Regression Model
• Scikit-Learn root_mean_squared_error() Metric
• Scikit-Learn root_mean_squared_log_error() Metric
• Scikit-Learn root_mean_squared_log_error() Metric
• Scikit-Learn SGDRegressor Model
• Scikit-Learn StackingRegressor Model
• Scikit-Learn SVR Model
• Scikit-Learn TheilSenRegressor Model
• Scikit-Learn TweedieRegressor Model
• Scikit-Learn VotingRegressor Model

ridge

• Configure Ridge "alpha" Parameter
• Configure Ridge "copy_X" Parameter
• Configure Ridge "fit_intercept" Parameter
• Configure Ridge "max_iter" Parameter
• Configure Ridge "positive" Parameter
• Configure Ridge "random_state" Parameter
• Configure Ridge "solver" Parameter
• Configure Ridge "tol" Parameter
• Scikit-Learn "Ridge" versus "RidgeCV"
• Scikit-Learn "RidgeClassifier" versus "RidgeClassifierCV"
• Scikit-Learn GridSearchCV Ridge
• Scikit-Learn GridSearchCV RidgeClassifier
• Scikit-Learn RandomizedSearchCV Ridge
• Scikit-Learn RandomizedSearchCV RidgeClassifier
• Scikit-Learn Ridge Regression Model
• Scikit-Learn RidgeClassifier Model
• Scikit-Learn RidgeClassifierCV Model
• Scikit-Learn RidgeCV Regression Model

semi-supervised

• Scikit-Learn GridSearchCV LabelPropagation
• Scikit-Learn GridSearchCV LabelSpreading
• Scikit-Learn GridSearchCV SelfTrainingClassifier
• Scikit-Learn LabelPropagation Model
• Scikit-Learn LabelSpreading Model
• Scikit-Learn RandomizedSearchCV LabelPropagation
• Scikit-Learn RandomizedSearchCV LabelSpreading
• Scikit-Learn RandomizedSearchCV SelfTrainingClassifier
• Scikit-Learn SelfTrainingClassifier Model

sgd

• Configure SGDClassifier "alpha" Parameter
• Configure SGDClassifier "average" Parameter
• Configure SGDClassifier "class_weight" Parameter
• Configure SGDClassifier "early_stopping" Parameter
• Configure SGDClassifier "epsilon" Parameter
• Configure SGDClassifier "eta0" Parameter
• Configure SGDClassifier "fit_intercept" Parameter
• Configure SGDClassifier "l1_ratio" Parameter
• Configure SGDClassifier "learning_rate" Parameter
• Configure SGDClassifier "loss" Parameter
• Configure SGDClassifier "max_iter" Parameter
• Configure SGDClassifier "n_iter_no_change" Parameter
• Configure SGDClassifier "n_jobs" Parameter
• Configure SGDClassifier "penalty" Parameter
• Configure SGDClassifier "power_t" Parameter
• Configure SGDClassifier "random_state" Parameter
• Configure SGDClassifier "shuffle" Parameter
• Configure SGDClassifier "tol" Parameter
• Configure SGDClassifier "validation_fraction" Parameter
• Configure SGDClassifier "verbose" Parameter
• Configure SGDClassifier "warm_start" Parameter
• Configure SGDRegressor "alpha" Parameter
• Configure SGDRegressor "average" Parameter
• Configure SGDRegressor "early_stopping" Parameter
• Configure SGDRegressor "epsilon" Parameter
• Configure SGDRegressor "eta0" Parameter
• Configure SGDRegressor "fit_intercept" Parameter
• Configure SGDRegressor "l1_ratio" Parameter
• Configure SGDRegressor "learning_rate" Parameter
• Configure SGDRegressor "loss" Parameter
• Configure SGDRegressor "max_iter" Parameter
• Configure SGDRegressor "n_iter_no_change" Parameter
• Configure SGDRegressor "penalty" Parameter
• Configure SGDRegressor "power_t" Parameter
• Configure SGDRegressor "random_state" Parameter
• Configure SGDRegressor "shuffle" Parameter
• Configure SGDRegressor "tol" Parameter
• Configure SGDRegressor "validation_fraction" Parameter
• Configure SGDRegressor "verbose" Parameter
• Configure SGDRegressor "warm_start" Parameter
• Scikit-Learn GridSearchCV SGDClassifier
• Scikit-Learn GridSearchCV SGDRegressor
• Scikit-Learn RandomizedSearchCV SGDClassifier
• Scikit-Learn RandomizedSearchCV SGDRegressor
• Scikit-Learn SGDClassifier Model
• Scikit-Learn SGDOneClassSVM Model
• Scikit-Learn SGDRegressor Model

stacking

• Configure StackingClassifier "cv" Parameter
• Configure StackingClassifier "estimators" Parameter
• Configure StackingClassifier "final_estimator" Parameter
• Configure StackingClassifier "n_jobs" Parameter
• Configure StackingClassifier "passthrough" Parameter
• Configure StackingClassifier "stack_method" Parameter
• Configure StackingClassifier "verbose" Parameter
• Configure StackingRegressor "cv" Parameter
• Configure StackingRegressor "estimators" Parameter
• Configure StackingRegressor "final_estimator" Parameter
• Configure StackingRegressor "n_jobs" Parameter
• Configure StackingRegressor "passthrough" Parameter
• Configure StackingRegressor "verbose" Parameter
• Scikit-Learn "StackingClassifier" versus "VotingClassifier"
• Scikit-Learn "StackingRegressor" versus "VotingRegressor"
• Scikit-Learn GridSearchCV StackingClassifier
• Scikit-Learn GridSearchCV StackingRegressor
• Scikit-Learn RandomizedSearchCV StackingClassifier
• Scikit-Learn RandomizedSearchCV StackingRegressor
• Scikit-Learn StackingClassifier Model
• Scikit-Learn StackingRegressor Model

svm

• Configure SVC "break_ties" Parameter
• Configure SVC "C" Parameter
• Configure SVC "cache_size" Parameter
• Configure SVC "class_weight" Parameter
• Configure SVC "coef0" Parameter
• Configure SVC "decision_function_shape" Parameter
• Configure SVC "degree" Parameter
• Configure SVC "gamma" Parameter
• Configure SVC "kernel" Parameter
• Configure SVC "max_iter" Parameter
• Configure SVC "probability" Parameter
• Configure SVC "random_state" Parameter
• Configure SVC "shrinking" Parameter
• Configure SVC "tol" Parameter
• Configure SVC "verbose" Parameter
• Configure SVR "C" Parameter
• Configure SVR "cache_size" Parameter
• Configure SVR "coef0" Parameter
• Configure SVR "degree" Parameter
• Configure SVR "epsilon" Parameter
• Configure SVR "gamma" Parameter
• Configure SVR "kernel" Parameter
• Configure SVR "max_iter" Parameter
• Configure SVR "shrinking" Parameter
• Configure SVR "tol" Parameter
• Configure SVR "verbose" Parameter
• Scikit-Learn "LinearSVC" versus "SVC"
• Scikit-Learn "LinearSVR" versus "SVR"
• Scikit-Learn GridSearchCV LinearSVC
• Scikit-Learn GridSearchCV LinearSVR
• Scikit-Learn GridSearchCV NuSVC
• Scikit-Learn GridSearchCV NuSVR
• Scikit-Learn GridSearchCV SVC
• Scikit-Learn GridSearchCV SVR
• Scikit-Learn hinge_loss() Metric
• Scikit-Learn LinearSVC Model
• Scikit-Learn LinearSVR Model
• Scikit-Learn NuSVC Model
• Scikit-Learn NuSVR Model
• Scikit-Learn OneClassSVM Model
• Scikit-Learn RandomizedSearchCV LinearSVC
• Scikit-Learn RandomizedSearchCV LinearSVR
• Scikit-Learn RandomizedSearchCV NuSVC
• Scikit-Learn RandomizedSearchCV NuSVR
• Scikit-Learn RandomizedSearchCV SVC
• Scikit-Learn RandomizedSearchCV SVR
• Scikit-Learn SGDOneClassSVM Model
• Scikit-Learn SVC Model
• Scikit-Learn SVR Model

text

• Scikit-Learn CountVectorizer for Feature Extraction
• Scikit-Learn fetch_20newsgroups_vectorized() Dataset
• Scikit-Learn fetch_20newsgroups() Dataset
• Scikit-Learn HashingVectorizer for Feature Extraction
• Scikit-Learn TfidfTransformer for Feature Extraction
• Scikit-Learn TfidfVectorizer for Feature Extraction

time series

• Scikit-Learn TimeSeriesSplit Data Splitting

topic modeling

• Scikit-Learn LatentDirichletAllocation Model

tuning

• Scikit-Learn FixedThresholdClassifier Model
• Scikit-Learn TunedThresholdClassifierCV Model

voting

• Configure VotingClassifier "estimators" Parameter
• Configure VotingClassifier "flatten_transform" Parameter
• Configure VotingClassifier "n_jobs" Parameter
• Configure VotingClassifier "verbose" Parameter
• Configure VotingClassifier "voting" Parameter
• Configure VotingClassifier "weights" Parameter
• Configure VotingRegressor "estimators" Parameter
• Configure VotingRegressor "n_jobs" Parameter
• Configure VotingRegressor "verbose" Parameter
• Configure VotingRegressor "weights" Parameter
• Scikit-Learn "StackingClassifier" versus "VotingClassifier"
• Scikit-Learn "StackingRegressor" versus "VotingRegressor"
• Scikit-Learn GridSearchCV VotingClassifier
• Scikit-Learn GridSearchCV VotingRegressor
• Scikit-Learn RandomizedSearchCV VotingClassifier
• Scikit-Learn RandomizedSearchCV VotingRegressor
• Scikit-Learn VotingClassifier Model
• Scikit-Learn VotingRegressor Model