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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 -
Precision-Recall — scikit-learn 1.4.2 documenta...
and test X_train , X_test , y_train , y_test = train_test_split...and test X_train , X_test , Y_train , Y_test = train_test_split...scikit-learn.org/stable/auto_examples/model_selection/plot_precision_recall.html -
Feature discretization — scikit-learn 1.4.2 doc...
training and test part X_train , X_test , y_train , y_test = train_test_split...and testing points ax . scatter ( X_test [:, 0 ], X_test [:,...scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization_classification.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 -
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 -
Demonstration of multi-metric evaluation on cro...
The best_estimator_ , best_index_ , best_score_ and best_params_...``gs.best_score_``, ``gs.best_params_`` and # ``gs.best_index_``...scikit-learn.org/stable/auto_examples/model_selection/plot_multi_metric_evaluation.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 -
Prediction Latency — scikit-learn 1.4.2 documen...
X_test , y_train , y_test = train_test_split ( X ,..., X_test , y_test = generate_dataset ( n_train , n_test , n )...scikit-learn.org/stable/auto_examples/applications/plot_prediction_latency.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 -
Multi-class AdaBoosted Decision Trees — scikit-...
import train_test_split X_train , X_test , y_train , y_test = train_test_split...the remaining 30 percent for testing. from sklearn.model_selection...scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_multiclass.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 -
Scalable learning with polynomial kernel approx...
import train_test_split X_train , X_test , y_train , y_test = train_test_split...train_test_split ( X , y , train_size = 5_000 , test_size = 10_000...scikit-learn.org/stable/auto_examples/kernel_approximation/plot_scalable_poly_kernels.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 -
sklearn.covariance.GraphicalLasso — scikit-lear...
score (X_test[, y]) Compute the log-likelihood of X_test under the...: X_test array-like of shape (n_samples, n_features) Test data...scikit-learn.org/stable/modules/generated/sklearn.covariance.GraphicalLasso.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 -
Comparison of Calibration of Classifiers — scik...
X_test , y_train , y_test = train_test_split ( X ,...from_estimator ( clf , X_test , y_test , n_bins = 10 , name = name...scikit-learn.org/stable/auto_examples/calibration/plot_compare_calibration.html -
sklearn.linear_model.MultiTaskLasso — scikit-le...
n_features) Test samples. For some estimators...y_true.mean()) ** 2).sum() . The best possible score is 1.0 and it...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskLasso.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