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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 -
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 -
GraphicalLassoCV — scikit-learn 1.5.0 documenta...
: X_test array-like of shape (n_samples, n_features) Test data...An iterable yielding (train, test) splits as arrays of indices....scikit-learn.org/stable/modules/generated/sklearn.covariance.GraphicalLassoCV.html -
Release Highlights for scikit-learn 1.5 — sciki...
X_test , y_train , y_test = train_test_split ( X ,...from_estimator ( classifier_05 , X_test , y_test ) Lowering the threshold,...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_5_0.html -
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 -
Gradient Boosting regression — scikit-learn 1.5...
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 -
plot_release_highlights_1_5_0.py
X_test, y_train, y_test = train_test_split(X, y, random_state=0)...imator(classifier_05, X_test, y_test) # %% # Lowering the threshold,...scikit-learn.org/stable/_downloads/ba0cfc16d7953e1c2c6912b6beca1e91/plot_release_highlights_1_5_0.py -
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 -
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 -
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