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sklearn.covariance.GraphicalLassoCV — scikit-le...
score (X_test[, y]) Compute the log-likelihood of X_test under the...: X_test array-like of shape (n_samples, n_features) Test data...scikit-learn.org/stable/modules/generated/sklearn.covariance.GraphicalLassoCV.html -
Examples — scikit-learn 1.4.2 documentation
(ROC) Nested versus non-nested cross-validation Nested versus...Comparison of F-test and mutual information Comparison of F-test and mutual...scikit-learn.org/stable/auto_examples/index.html -
sklearn.naive_bayes.BernoulliNB — scikit-learn ...
classification on an array of test vectors X. predict_joint_log_proba...probability estimates for the test vector X. predict_log_proba...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.BernoulliNB.html -
sklearn.naive_bayes.GaussianNB — scikit-learn 1...
classification on an array of test vectors X. predict_joint_log_proba...probability estimates for the test vector X. predict_log_proba...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.GaussianNB.html -
sklearn.covariance.ShrunkCovariance — scikit-le...
score (X_test[, y]) Compute the log-likelihood of X_test under the...: X_test array-like of shape (n_samples, n_features) Test data...scikit-learn.org/stable/modules/generated/sklearn.covariance.ShrunkCovariance.html -
sklearn.preprocessing.quantile_transform — scik...
splitting into training and test sets. This will bias the model...information would have leaked from the test set to the training set. In...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.quantile_transform.html -
sklearn.linear_model.RidgeCV — scikit-learn 1.4...
test) splits as arrays of indices....shape (n_samples, n_features) Test samples. For some estimators...scikit-learn.org/stable/modules/generated/sklearn.linear_model.RidgeCV.html -
auto_examples_jupyter.zip
X_test, y_train, y_test = train_test_split(\n X, y, test_size=0.25,...\"%(n_test)6d test docs (%(n_test_pos)6d positive) \" % test_stats\n...scikit-learn.org/stable/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip -
Supervised learning: predicting an output varia...
iris_X_test = iris_X [ indices [ - 10 :]] >>> iris_y_test = iris_y...predict ( diabetes_X_test ) - diabetes_y_test ) ** 2 ) 2004.5......scikit-learn.org/stable/tutorial/statistical_inference/supervised_learning.html -
sklearn.discriminant_analysis.LinearDiscriminan...
the mean accuracy on the given test data and labels. set_output...n_features) Array of samples (test vectors). Returns : C ndarray...scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.LinearDiscriminantAnalysi...