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sklearn.model_selection.learning_curve — scikit...
( f "The average test accuracy is { cv_test_scores . mean ()...cross-validated training and test scores for different training...scikit-learn.org/stable/modules/generated/sklearn.model_selection.learning_curve.html -
sklearn.datasets.fetch_species_distributions — ...
in degrees test record array, shape = (620,) The test points for...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_species_distributions.html -
sklearn.linear_model.LassoCV — scikit-learn 1.4...
test) splits as arrays of indices....n_folds) Mean square error for the test set on each fold, varying alpha....scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoCV.html -
sklearn.semi_supervised.LabelSpreading — scikit...
on a Text Dataset Semi-supervised Classification on a Text Dataset...the mean accuracy on the given test data and labels. set_params...scikit-learn.org/stable/modules/generated/sklearn.semi_supervised.LabelSpreading.html -
sklearn.covariance.EllipticEnvelope — scikit-le...
the mean accuracy on the given test data and labels. score_samples...the mean accuracy on the given test data and labels. In multi-label...scikit-learn.org/stable/modules/generated/sklearn.covariance.EllipticEnvelope.html -
preprocessing.rst.txt
K_{test} - 1'_{\text{n}_{samples}} K - K_{test} 1_{\text{n}_{samples}}...>>> X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=42)...scikit-learn.org/stable/_sources/modules/preprocessing.rst.txt -
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 -
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.ensemble.GradientBoostingClassifier — s...
X_test = X [: 2000 ], X [ 2000 :] >>> y_train , y_test = y...y_train ) >>> clf . score ( X_test , y_test ) 0.913... Methods apply...scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.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