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Classifier comparison — scikit-learn 1.4.2 docu...
y_test = train_test_split ( X , y , test_size = 0.4 , random_state...the testing points ax . scatter ( X_test [:, 0 ], X_test [:,...scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html -
Decision Tree Regression — scikit-learn 1.4.2 d...
predict ( X_test ) y_2 = regr_2 . predict ( X_test ) # Plot the.... fit ( X , y ) # Predict X_test = np . arange ( 0.0 , 5.0 ,...scikit-learn.org/stable/auto_examples/tree/plot_tree_regression.html -
Probability Calibration curves — scikit-learn 1...
X_test , y_train , y_test = train_test_split ( X ,...from_estimator ( clf , X_test , y_test , n_bins = 10 , name = name...scikit-learn.org/stable/auto_examples/calibration/plot_calibration_curve.html -
One-class SVM with non-linear kernel (RBF) — sc...
size n_error_test = y_pred_test [ y_pred_test == - 1 ] . size...X_train ) y_pred_test = clf . predict ( X_test ) y_pred_outliers...scikit-learn.org/stable/auto_examples/svm/plot_oneclass.html -
sklearn.model_selection.RepeatedStratifiedKFold...
print ( f " Test: index= { test_index } " ) ... Fold...index=[1 2] Test: index=[0 3] Fold 1: Train: index=[0 3] Test: index=[1...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedStratifiedKFold.html -
Single estimator versus bagging: bias-variance ...
( y ) X_test , y_test = generate ( n_samples = n_test , noise...training set n_test = 1000 # Size of the test set noise = 0.1...scikit-learn.org/stable/auto_examples/ensemble/plot_bias_variance.html -
Principal Component Regression vs Partial Least...
X_test , y_train , y_test = train_test_split ( X ,...scatter ( pca . transform ( X_test ), y_test , alpha = 0.3 , label =...scikit-learn.org/stable/auto_examples/cross_decomposition/plot_pcr_vs_pls.html -
Underfitting vs. Overfitting — scikit-learn 1.4...
plot ( X_test , pipeline . predict ( X_test [:, np . newaxis..."Model" ) plt . plot ( X_test , true_fun ( X_test ), label = "True function"...scikit-learn.org/stable/auto_examples/model_selection/plot_underfitting_overfitting.html -
sklearn.neural_network.MLPRegressor — scikit-le...
X_test , y_train , y_test = train_test_split ( X ,...-7.1...]) >>> regr . score ( X_test , y_test ) 0.4... Methods fit (X,...scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPRegressor.html -
sklearn.svm.SVC — scikit-learn 1.4.2 documentation
the mean accuracy on the given test data and labels. set_fit_request...(n_samples, n_features) or (n_samples_test, n_samples_train) For kernel=”precomputed”,...scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html