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sklearn.datasets.fetch_20newsgroups_vectorized ...
‘test’ for the test set, ‘all’ for both,...Parameters : subset {‘train’, ‘test’, ‘all’}, default=’train’ Select...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_20newsgroups_vectorized.html -
sklearn.model_selection.LearningCurveDisplay — ...
test_scores = test_scores , score_name =...train_sizes , train_scores , test_scores , score_name = None )...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LearningCurveDisplay.html -
feature_selection.rst.txt
the best features based on univariate statistical tests. It can...we can use a F-test to retrieve the two best features for a dataset...scikit-learn.org/stable/_sources/modules/feature_selection.rst.txt -
sklearn.multiclass.OneVsOneClassifier — scikit-...
X_test , y_train , y_test = train_test_split ( ......sklearn.model_selection import train_test_split >>> from sklearn.multiclass...scikit-learn.org/stable/modules/generated/sklearn.multiclass.OneVsOneClassifier.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.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 -
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.preprocessing.minmax_scale — scikit-lea...
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.minmax_scale.html -
sklearn.base.ClassifierMixin — scikit-learn 1.4...
the mean accuracy on the given test data and labels. score ( X ,...the mean accuracy on the given test data and labels. In multi-label...scikit-learn.org/stable/modules/generated/sklearn.base.ClassifierMixin.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