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Probabilistic predictions with Gaussian process...
according to the log-loss on test data. The figure shows that...train_size :], c = "g" , label = "Test data" , edgecolors = ( 0 , 0...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc.html -
OutputCodeClassifier — scikit-learn 1.6.1 docum...
the mean accuracy on the given test data and labels. In multi-label...shape (n_samples, n_features) Test samples. y array-like of shape...scikit-learn.org/stable/modules/generated/sklearn.multiclass.OutputCodeClassifier.html -
Principal Component Regression vs Partial Least...
X_test , y_train , y_test = train_test_split ( X ,...scatter ( pca . transform ( X_test ), y_test , alpha = 0.3 , label =...scikit-learn.org/stable/auto_examples/cross_decomposition/plot_pcr_vs_pls.html -
Non-negative least squares — scikit-learn 1.6.1...
import train_test_split X_train , X_test , y_train , y_test = train_test_split...train_test_split ( X , y , test_size = 0.5 ) Fit the Non-Negative...scikit-learn.org/stable/auto_examples/linear_model/plot_nnls.html -
Examples of Using FrozenEstimator — scikit-lear...
X_test , y_train , y_test = train_test_split ( X ,...( X_test )[:, 1 ] clf_score = brier_score_loss ( y_test , prob_pos_clf...scikit-learn.org/stable/auto_examples/frozen/plot_frozen_examples.html -
Pipeline — scikit-learn 1.6.1 documentation
X_test , y_train , y_test = train_test_split ( X ,..., y_train ) . score ( X_test , y_test ) 0.88 >>> # An estimator's...scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html -
Balance model complexity and cross-validated sc...
"mean_test_score" ]) return ( cv_results [ "mean_test_score"...nts" ] test_scores = grid . cv_results_ [ "mean_test_score" ]...scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_refit_callable.html -
RepeatedStratifiedKFold — scikit-learn 1.6.1 do...
print ( f " Test: index= { test_index } " ) ... Fold...index=[1 2] Test: index=[0 3] Fold 1: Train: index=[0 3] Test: index=[1...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedStratifiedKFold.html -
Feature discretization — scikit-learn 1.6.1 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 -
Isotonic Regression — scikit-learn 1.6.1 docume...
plot ( x_test , ir . predict ( x_test ), "C1-" ) ax1 ....noisy data (n= %d )" % n ) x_test = np . linspace ( - 10 , 110...scikit-learn.org/stable/auto_examples/miscellaneous/plot_isotonic_regression.html