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Probability Calibration curves — scikit-learn 1...
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_calibration_curve.html -
Classifier comparison — scikit-learn 1.5.0 docu...
y_test = train_test_split ( X , y , test_size = 0.4 , random_state...the testing points ax . scatter ( X_test [:, 0 ], X_test [:,...scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html -
Shrinkage covariance estimation: LedoitWolf vs ...
coloring_matrix ) X_test = np . dot ( base_X_test , coloring_matrix...n_samples , n_features )) base_X_test = np . random . normal ( size...scikit-learn.org/stable/auto_examples/covariance/plot_covariance_estimation.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 -
One-class SVM with non-linear kernel (RBF) — sc...
size n_error_test = y_pred_test [ y_pred_test == - 1 ] . size...X_train ) y_pred_test = clf . predict ( X_test ) y_pred_outliers...scikit-learn.org/stable/auto_examples/svm/plot_oneclass.html -
Single estimator versus bagging: bias-variance ...
( y ) X_test , y_test = generate ( n_samples = n_test , noise...training set n_test = 1000 # Size of the test set noise = 0.1...scikit-learn.org/stable/auto_examples/ensemble/plot_bias_variance.html -
Feature transformations with ensembles of trees...
X_test , y_full_train , y_test = train_test_split ( X...train_test_split ( X_full_train , y_full_train , test_size =...scikit-learn.org/stable/auto_examples/ensemble/plot_feature_transformation.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 -
OAS — scikit-learn 1.5.0 documentation
: X_test array-like of shape (n_samples, n_features) Test data...the observations. score ( X_test , y = None ) [source] # Compute...scikit-learn.org/stable/modules/generated/sklearn.covariance.OAS.html -
RepeatedStratifiedKFold — scikit-learn 1.5.0 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