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sklearn.model_selection.GroupKFold — scikit-lea...
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.GroupKFold.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 -
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 -
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 -
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.ensemble.ExtraTreesRegressor — scikit-l...
X_test , y_train , y_test = train_test_split ( ......y_train ) >>> reg . score ( X_test , y_test ) 0.2727... Methods apply...scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesRegressor.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.calibration.CalibratedClassifierCV — sc...
and calibrates it using the testing subset. For prediction, predicted...An iterable yielding (train, test) splits as arrays of indices....scikit-learn.org/stable/modules/generated/sklearn.calibration.CalibratedClassifierCV.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 -
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 -
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 -
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 -
plot_classifier_comparison.rst.txt
and test part X, y = ds X_train, X_test, y_train, y_test = train_test_split(...Plot the testing points ax.scatter( X_test[:, 0], X_test[:, 1],...scikit-learn.org/stable/_sources/auto_examples/classification/plot_classifier_comparison.rst.txt -
sklearn.model_selection.validation_curve — scik...
print ( f "The average test accuracy is { test_scores . mean () :...curve. Determine training and test scores for varying parameter...scikit-learn.org/stable/modules/generated/sklearn.model_selection.validation_curve.html -
plot_multi_metric_evaluation.py
1)[0][0] best_score = results["mean_test_%s" % scorer][best_index]...etc...) The ``best_estimator_``, ``best_index_``, ``best_score_``...scikit-learn.org/stable/_downloads/dedbcc9464f3269f4f012f4bfc7d16da/plot_multi_metric_evaluation.py -
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 -
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 -
Probability Calibration for 3-class classificat...
y [: 1000 ] X_test , y_test = X [ 1000 :], y [ 1000...log_loss ( y_test , clf_probs ) cal_score = log_loss ( y_test , cal_clf_probs...scikit-learn.org/stable/auto_examples/calibration/plot_calibration_multiclass.html