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ExtraTreesClassifier — scikit-learn 1.7.2 docum...
min_samples_split = 2 , min_samples_leaf = 1 , min_...min_samples_split int or float, default=2 The minimum number of samples...scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesClassifier.html -
mean_poisson_deviance — scikit-learn 1.7.2 docu...
y_true = [ 2 , 0 , 1 , 4 ] >>> y_pred = [ 0.5 , 0.5 , 2. , 2. ] >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_poisson_deviance.html -
Classifier comparison — scikit-learn 1.7.2 docu...
n_features = 2 , n_redundant = 0 , n_informative = 2 , random_state.... random . RandomState ( 2 ) X += 2 * rng . uniform ( size =...scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html -
Feature discretization — scikit-learn 1.7.2 doc...
n_features = 2 , n_redundant = 0 , n_informative = 2 , random_state...GradientBoostingClas: 0.84 SVC: 0.84 dataset 2 --------- LogisticRegression:...scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization_classification.html -
Incremental PCA — scikit-learn 1.7.2 documentation
target n_components = 2 ipca = IncrementalPCA ( n_components...target_name in zip ( colors , [ 0 , 1 , 2 ], iris . target_names ): plt...scikit-learn.org/stable/auto_examples/decomposition/plot_incremental_pca.html -
root_mean_squared_error — scikit-learn 1.7.2 do...
2 , 7 ] >>> y_pred = [ 2.5 , 0.0 , 2 , 8 ] >>> r...]] >>> y_pred = [[ 0 , 2 ],[ - 1 , 2 ],[ 8 , - 5 ]] >>> root_mean_squared_error...scikit-learn.org/stable/modules/generated/sklearn.metrics.root_mean_squared_error.html -
ledoit_wolf — scikit-learn 1.7.2 documentation
2 ], [ .2 , .8 ]]) >>> rng = np . random...scikit-learn.org/stable/modules/generated/sklearn.covariance.ledoit_wolf.html -
1.6. Nearest Neighbors — scikit-learn 1.7.2 doc...
2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2 , 2 ]) >>>...- 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2 , 1 ], [ 3...scikit-learn.org/stable/modules/neighbors.html -
check_is_fitted — scikit-learn 1.7.2 documentation
2 ], [ 1 , 3 ]], [ 1 , 0 ]) LogisticRegression()...scikit-learn.org/stable/modules/generated/sklearn.utils.validation.check_is_fitted.html -
Hyperparameter — scikit-learn 1.7.2 documentation
bounds # Alias for field number 2 count ( value , / ) # Return number...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Hyperparameter.html