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Comparing Random Forests and Histogram Gradient...
significant improvement of the testing score. Plot results We can...elapsed computing time and mean test score. Passing the cursor over...scikit-learn.org/stable/auto_examples/ensemble/plot_forest_hist_grad_boosting_comparison.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 -
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 -
Comparing various online solvers — scikit-learn...
X_test , y_train , y_test = train_test_split ( X ,...( X_test ) yy_ . append ( 1 - np . mean ( y_pred == y_test ))...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_comparison.html -
Plotting Learning Curves and Checking Models’ S...
[ test_scores_nb , test_scores_svm ], [ naive_bayes...axis = 1 ), test_scores . mean ( axis = 1 ) - test_scores . std...scikit-learn.org/stable/auto_examples/model_selection/plot_learning_curve.html -
sklearn.calibration.CalibrationDisplay — scikit...
X_test , y_train , y_test = train_test_split ( ......X_train , X_test , y_train , y_test = train_test_split ( ......scikit-learn.org/stable/modules/generated/sklearn.calibration.CalibrationDisplay.html -
Gradient Boosting regularization — scikit-learn...
X_test , y_train , y_test = train_test_split ( X ,...( X_test )): test_deviance [ i ] = 2 * log_loss ( y_test , y_proba...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regularization.html -
sklearn.metrics.PrecisionRecallDisplay — scikit...
X_test , y_train , y_test = train_test_split ( X ,...X_train , X_test , y_train , y_test = train_test_split ( ......scikit-learn.org/stable/modules/generated/sklearn.metrics.PrecisionRecallDisplay.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 -
sklearn.model_selection.KFold — scikit-learn 1....
Provides train/test indices to split data in train/test sets. Split..." ) ... print ( f " Test: index= { test_index } " ) Fold 0: Train:...scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html