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Kernel PCA — scikit-learn 1.7.1 documentation
X_test , y_train , y_test = train_test_split ( X ,..."Training data" ) test_ax . scatter ( X_test [:, 0 ], X_test [:, 1 ],...scikit-learn.org/stable/auto_examples/decomposition/plot_kernel_pca.html -
Plot classification probability — scikit-learn ...
X_test , y_train , y_test = train_test_split ( X ,...predict_proba ( X_test ) accuracy_test = accuracy_score ( y_test , y_pred...scikit-learn.org/stable/auto_examples/classification/plot_classification_probability.html -
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 -
2.6. Covariance estimation — scikit-learn 1.7.1...
then the test set is supposed to have the...scikit-learn.org/stable/modules/covariance.html -
LinearSVC — scikit-learn 1.7.1 documentation
vs the rest. It is possible to implement one vs the rest with SVC...shape (n_samples, n_features) Test samples. y array-like of shape...scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVC.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 -
Decision Tree Regression — scikit-learn 1.7.1 d...
Get predictions on the test set X_test = np . arange ( 0.0 , 5.0...predict ( X_test ) y_2 = regr_2 . predict ( X_test ) Plot the...scikit-learn.org/stable/auto_examples/tree/plot_tree_regression.html -
Shrinkage covariance estimation: LedoitWolf vs ...
coloring_matrix ) X_test = np . dot ( base_X_test , coloring_matrix...ymin , - cv . best_estimator_ . score ( X_test ), color = "cyan"...scikit-learn.org/stable/auto_examples/covariance/plot_covariance_estimation.html -
Release Highlights for scikit-learn 0.22 — scik...
X_test , y_train , y_test = train_test_split ( X ,...plot_roc_curve(svc, X_test, y_test) # rfc_disp = plot_roc_curve(rfc, X_test, y_test,...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_22_0.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