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Gradient Boosting regression — scikit-learn 1.7...
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 -
1.17. Neural network models (supervised) — scik...
transformation to test data >>> X_test = scaler . transform ( X_test ) An...apply the same scaling to the test set for meaningful results....scikit-learn.org/stable/modules/neural_networks_supervised.html -
plot_classifier_comparison.py
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/_downloads/2da0534ab0e0c8241033bcc2d912e419/plot_classifier_comparison.py -
GridSearchCV — scikit-learn 1.7.2 documentation
'rank_test_score', 'split0_test_score',... 'split2_test_score',...'mean_test_score' : [ 0.81 , 0.60 , 0.75 , 0.85 ], 'std_test_score'...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.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 -
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 -
Map data to a normal distribution — scikit-lear...
X_test = train_test_split ( X , test_size = 0.5 )...sklearn.model_selection import train_test_split from sklearn.preprocessing...scikit-learn.org/stable/auto_examples/preprocessing/plot_map_data_to_normal.html -
Recursive feature elimination with cross-valida...
"mean_test_score" , "std_test_score" ] } cv_results...[ "mean_test_score" ], yerr = cv_results [ "std_test_score" ],...scikit-learn.org/stable/auto_examples/feature_selection/plot_rfe_with_cross_validation.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 -
SelectFpr — scikit-learn 1.7.2 documentation
a FPR test. FPR test stands for False Positive Rate test. It controls...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFpr.html