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sklearn.model_selection.cross_val_predict — sci...
sample belongs to exactly one test set, and its prediction is computed...cross_val_score unless all tests sets have equal size and the...scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_predict.html -
glossary.rst.txt
common tests This refers to the tests run on almost every...``(train_idx, test_idx)`` pairs. Each of {train,test}_idx is a 1d...scikit-learn.org/stable/_sources/glossary.rst.txt -
roadmap.rst.txt
Improve scikit-learn common tests suite to make sure that (at...scikit-learn.org/stable/_sources/roadmap.rst.txt -
install.rst.txt
running the full scikit-learn test suite via automated continuous...ckages\\sklearn\\datasets\\tests\\data\\openml\\292\\api-v1-...scikit-learn.org/stable/_sources/install.rst.txt -
related_projects.rst.txt
facilitates best practices for testing and documenting estimators....More focused on statistical tests and less on prediction than...scikit-learn.org/stable/_sources/related_projects.rst.txt -
1.10. Decision Trees — scikit-learn 1.4.2 docum...
validate a model using statistical tests. That makes it possible to account...= 0 ) . fit ( X , y ) >>> X_test = np . array ([ np . nan ])...scikit-learn.org/stable/modules/tree.html -
Gradient Boosting regression — scikit-learn 1.4...
X_test , y_train , y_test = train_test_split ( X ,...mean_squared_error ( y_test , reg . predict ( X_test )) print ( "The...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regression.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 -
Custom refit strategy of a grid search with cro...
import train_test_split X_train , X_test , y_train , y_test = train_test_split..., "mean_test_recall" , "std_test_recall" , "mean_test_precision"...scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_digits.html -
L1-based models for Sparse Signals — scikit-lea...
import train_test_split X_train , X_test , y_train , y_test = train_test_split...train_test_split ( X , y , test_size = 0.5 , shuffle = False ) In...scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_and_elasticnet.html