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10. Common pitfalls and recommended practices —...
X_test , y_train , y_test = train_test_split ( ......X_train , X_test , y_train , y_test = train_test_split ( ......scikit-learn.org/stable/common_pitfalls.html -
Confusion matrix — scikit-learn 1.4.2 documenta...
set and a test set X_train , X_test , y_train , y_test = train_test_split...from_estimator ( classifier , X_test , y_test , display_labels = class_names...scikit-learn.org/stable/auto_examples/model_selection/plot_confusion_matrix.html -
sklearn.model_selection.PredefinedSplit — sciki...
Provides train/test indices to split data into train/test sets using...The entry test_fold[i] represents the index of the test set that...scikit-learn.org/stable/modules/generated/sklearn.model_selection.PredefinedSplit.html -
Introducing the set_output API — scikit-learn 1...
X_test , y_train , y_test = train_test_split ( X ,...X_train ) X_test_scaled = scaler . transform ( X_test ) X_test_scaled...scikit-learn.org/stable/auto_examples/miscellaneous/plot_set_output.html -
Time-related feature engineering — scikit-learn...
test_0 = all_splits [ 0 ] X . iloc [ test_0 ] season...train_4 , test_4 = all_splits [ 4 ] X . iloc [ test_4 ] season...scikit-learn.org/stable/auto_examples/applications/plot_cyclical_feature_engineering.html -
6.1. Pipelines and composite estimators — sciki...
X_test , y_train , y_test = train_test_split ( X ,...format ( regr . score ( X_test , y_test ))) R2 score: 0.61 >>> raw_target_regr...scikit-learn.org/stable/modules/compose.html -
Face completion with a multi-output estimators ...
randint ( test . shape [ 0 ], size = ( n_faces ,)) test = test [ face_ids...2 :] X_test = test [:, : ( n_pixels + 1 ) // 2 ] y_test = test...scikit-learn.org/stable/auto_examples/miscellaneous/plot_multioutput_face_completion.html -
sklearn.impute.IterativeImputer — scikit-learn ...
missing values at transform/test time. keep_empty_features bool,...simple estimators as well as on nested objects (such as Pipeline )....scikit-learn.org/stable/modules/generated/sklearn.impute.IterativeImputer.html -
sklearn.model_selection.LeaveOneOut — scikit-le...
Provides train/test indices to split data in train/test sets. Each..." ) ... print ( f " Test: index= { test_index } " ) Fold 0: Train:...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeaveOneOut.html -
sklearn.model_selection.LeavePGroupsOut — sciki...
f " Test: index= { test_index } , group= { groups [ test_index...indices for that split. test ndarray The testing set indices for that...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeavePGroupsOut.html -
Tweedie regression on insurance claims — scikit...
( "test" , X_test , df_test ), ]: y , _weights...train_test_split df_train , df_test , X_train , X_test = train_test_split...scikit-learn.org/stable/auto_examples/linear_model/plot_tweedie_regression_insurance_claims.html -
Post pruning decision trees with cost complexit...
X_test , y_train , y_test = train_test_split ( X ,...clfs ] test_scores = [ clf . score ( X_test , y_test ) for clf...scikit-learn.org/stable/auto_examples/tree/plot_cost_complexity_pruning.html -
Underfitting vs. Overfitting — scikit-learn 1.4...
plot ( X_test , pipeline . predict ( X_test [:, np . newaxis..."Model" ) plt . plot ( X_test , true_fun ( X_test ), label = "True function"...scikit-learn.org/stable/auto_examples/model_selection/plot_underfitting_overfitting.html -
Comparing Target Encoder with Other Encoders — ...
"rmse_test_mean" : rmse_test_score . mean (), "rmse_test_std"...= True , ) rmse_test_score = - result [ "test_score" ] rmse_train_score...scikit-learn.org/stable/auto_examples/preprocessing/plot_target_encoder.html -
sklearn.naive_bayes.CategoricalNB — scikit-lear...
classification on an array of test vectors X. predict_joint_log_proba...probability estimates for the test vector X. predict_log_proba...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.CategoricalNB.html -
Sample pipeline for text feature extraction and...
) data_test = fetch_20newsgroups ( subset = "test" , categories...vect__norm: l1 test_accuracy = random_search . score ( data_test . data...scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_text_feature_extraction.html -
Visualizations with Display Objects — scikit-le...
X_test , y_train , y_test = train_test_split ( X ,...predict ( X_test ) cm = confusion_matrix ( y_test , y_pred ) cm_display...scikit-learn.org/stable/auto_examples/miscellaneous/plot_display_object_visualization.html -
Permutation Importance vs Random Forest Feature...
X_test , y_train , y_test = train_test_split ( X ,...( f "RF test accuracy: { rf . score ( X_test , y_test ) : .3f...scikit-learn.org/stable/auto_examples/inspection/plot_permutation_importance.html -
Gradient Boosting Out-of-Bag estimates — scikit...
-= test_score [ 0 ] test_best_iter = x [ np . argmin ( test_score...x = test_best_iter , color = test_color , linestyle = test_line...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_oob.html -
Plotting Learning Curves and Checking Models’ S...
[ test_scores_nb , test_scores_svm ], [ naive_bayes...axis = 1 ), test_scores . mean ( axis = 1 ) - test_scores . std...scikit-learn.org/stable/auto_examples/model_selection/plot_learning_curve.html