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RandomForestClassifier — scikit-learn 1.7.2 doc...
from 10 to 100 in 0.22. criterion {“gini”, “entropy”, “log_loss”},...provided. max_features {“sqrt”, “log2”, None}, int or float, default=”sqrt”...scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html -
RFECV — scikit-learn 1.7.2 documentation
remove at each iteration. If within (0.0, 1.0), then step corresponds...rankings across (k)th fold. Selected (i.e., estimated best) features...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFECV.html -
SpectralCoclustering — scikit-learn 1.7.2 docum...
= np . array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7 ],...clustering . row_labels_ array([0, 1, 1, 0, 0, 0], dtype=int32) >>>...scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralCoclustering.html -
BisectingKMeans — scikit-learn 1.7.2 documentation
np . array ([[ 1 , 1 ], [ 10 , 1 ], [ 3 , 1 ], ... [ 10 , 0 ],...], [ 2 , 1 ], [ 10 , 2 ], ... [ 10 , 8 ], [ 10 , 9 ], [ 10 , 10...scikit-learn.org/stable/modules/generated/sklearn.cluster.BisectingKMeans.html -
make_classification — scikit-learn 1.7.2 docume...
[np.int64(0), np.int64(0), np.int64(1), np.int64(1), np.int64(0)].... shape (100, 20) >>> y . shape (100,) >>> list ( y [: 5 ]) [np.int64(0),...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_classification.html -
mean_squared_error — scikit-learn 1.7.2 documen...
1 , 1 ],[ 7 , - 6 ]] >>> y_pred = [[ 0 , 2 ],[ - 1 , 2 ],[ 8...y_pred , multioutput = [ 0.3 , 0.7 ]) 0.825... Gallery examples # Model...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_squared_error.html -
hinge_loss — scikit-learn 1.7.2 documentation
array([-2.18, 2.36, 0.09]) >>> hinge_loss ([ - 1 , 1 , 1 ], pred_decision...array ([ 0 , 1 , 2 , 3 ]) >>> labels = np . array ([ 0 , 1 , 2 , 3...scikit-learn.org/stable/modules/generated/sklearn.metrics.hinge_loss.html -
RidgeClassifier — scikit-learn 1.7.2 documentation
‘cholesky’, ‘lsqr’, ‘sparse_cg’, ‘sag’, ‘saga’, ‘lbfgs’}, default=’auto’...n_samples / (n_classes * np.bincount(y)) . solver {‘auto’, ‘svd’, ‘cholesky’,...scikit-learn.org/stable/modules/generated/sklearn.linear_model.RidgeClassifier.html -
DummyClassifier — scikit-learn 1.7.2 documentation
np . array ([ - 1 , 1 , 1 , 1 ]) >>> y = np . array ([ 0 , 1...1, 1, 1]) >>> dummy_clf . score ( X , y ) 0.75 fit ( X , y , sample_weight...scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyClassifier.html -
auc — scikit-learn 1.7.2 documentation
0.1 , 0.4 , 0.35 , 0.8 ]) >>> fpr , tpr , thresholds = metrics...np . array ([ 1 , 1 , 2 , 2 ]) >>> y_score = np . array ([ 0.1...scikit-learn.org/stable/modules/generated/sklearn.metrics.auc.html