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Single estimator versus bagging: bias-variance ...
n_estimators - 1 : plt . legend ( loc = ( 1.1 , 0.5 )) plt ....axis = 1 )) ** 2 y_var = np . var ( y_predict , axis = 1 ) print...scikit-learn.org/stable/auto_examples/ensemble/plot_bias_variance.html -
Perceptron — scikit-learn 1.7.1 documentation
l1_ratio <= 1 . l1_ratio=0 corresponds to L2 penalty, l1_ratio=1 to L1....means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Perceptron.html -
StackingRegressor — scikit-learn 1.7.1 document...
in version 1.1: The ‘prefit’ option was added in 1.1 Note A larger...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.ensemble.StackingRegressor.html -
MiniBatchKMeans — scikit-learn 1.7.1 documentation
array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2...0 , 1 ], [ 2 , 2 ], ... [ 3 , 2 ], [ 5 , 5 ], [ 1 , - 1 ]]) >>>...scikit-learn.org/stable/modules/generated/sklearn.cluster.MiniBatchKMeans.html -
SimpleImputer — scikit-learn 1.7.1 documentation
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights...Added in version 1.2. Changed in version 1.6: Currently, when...scikit-learn.org/stable/modules/generated/sklearn.impute.SimpleImputer.html -
StratifiedKFold — scikit-learn 1.7.1 documentation
array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]])...>>> y = np . array ([ 0 , 0 , 1 , 1 ]) >>> skf = StratifiedKFold...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedKFold.html -
AdaBoostRegressor — scikit-learn 1.7.1 document...
the range [1, inf) . learning_rate float, default=1.0 Weight applied...n_estimators = 50 , learning_rate = 1.0 , loss = 'linear' , random_state...scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostRegressor.html -
BernoulliNB — scikit-learn 1.7.1 documentation
Added in version 1.2. Changed in version 1.4: The default value...sklearn.naive_bayes. BernoulliNB ( * , alpha = 1.0 , force_alpha = True , binarize...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.BernoulliNB.html -
RegressorMixin — scikit-learn 1.7.1 documentation
array ([ - 1 , 0 , 1 ]) >>> estimator . fit ( X...__init__ ( self , * , param = 1 ): ... self . param = param ......scikit-learn.org/stable/modules/generated/sklearn.base.RegressorMixin.html -
StackingClassifier — scikit-learn 1.7.1 documen...
in version 1.1: The ‘prefit’ option was added in 1.1 Note A larger...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.ensemble.StackingClassifier.html