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cross_validation.rst.txt
available data as a **test set** ``X_test, y_test``. Note that the...>>> X_train, X_test, y_train, y_test = train_test_split( ... X,...scikit-learn.org/stable/_sources/modules/cross_validation.rst.txt -
StratifiedGroupKFold — scikit-learn 1.6.1 docum...
print ( f " Test: index= { test_index } " ) ... print...indices for that split. test ndarray The testing set indices for that...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedGroupKFold.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 -
ROC Curve with Visualization API — scikit-learn...
X_test , y_train , y_test = train_test_split ( X ,...from_estimator ( svc , X_test , y_test ) plt . show () Training...scikit-learn.org/stable/auto_examples/miscellaneous/plot_roc_curve_visualization_api.html -
5. Visualizations — scikit-learn 1.6.1 document...
X_test , y_train , y_test = train_test_split ( X ,...from_estimator ( svc , X_test , y_test ) The returned svc_disp...scikit-learn.org/stable/visualizations.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 -
Out-of-core classification of text documents — ...
- tick test_stats [ "n_test" ] += len ( y_test ) test_stats [...%(n_test)6d test docs ( %(n_test_pos)6d positive) " % test_stats...scikit-learn.org/stable/auto_examples/applications/plot_out_of_core_classification.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 -
preprocessing.rst.txt
X_test, y_train, y_test = train_test_split(X, y, random_state=42)...pipe.score(X_test, y_test) # apply scaling on testing data, without...scikit-learn.org/stable/_sources/modules/preprocessing.rst.txt -
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