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rand_score — scikit-learn 1.7.2 documentation
of Classification 2, 193–218 (1985). . [ 2 ] Wikipedia: Simple...predicted and true clusterings [1] [2] . The raw RI score [3] is: RI...scikit-learn.org/stable/modules/generated/sklearn.metrics.rand_score.html -
mutual_info_classif — scikit-learn 1.7.2 docume...
[ 2 ] ( 1 , 2 ) A. Kraskov, H. Stogbauer...neighbors distances as described in [2] and [3] . Both methods are based...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.mutual_info_classif.html -
BisectingKMeans — scikit-learn 1.7.2 documentation
2, 0, 2, 0, 2, 1, 1, 1], dtype=int32)...], ... [ 10 , 0 ], [ 2 , 1 ], [ 10 , 2 ], ... [ 10 , 8 ], [ 10...scikit-learn.org/stable/modules/generated/sklearn.cluster.BisectingKMeans.html -
train_test_split — scikit-learn 1.7.2 documenta...
2 1 4.9 3.0 1.4 0.2 2 4.7 3.2 1.3 0.2 3 4.6 3.1 1.5...1.4 0.2 122 7.7 2.8 6.7 2.0 >>> y_train . head () 96 1 105 2 66...scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html -
mutual_info_regression — scikit-learn 1.7.2 doc...
[ 2 ] ( 1 , 2 ) A. Kraskov, H. Stogbauer...neighbors distances as described in [2] and [3] . Both methods are based...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.mutual_info_regression.html -
Nystroem — scikit-learn 1.7.2 documentation
2 , ... random_state = 1 , ... n_components...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.Nystroem.html -
locally_linear_embedding — scikit-learn 1.7.2 d...
(n_components + 1) / 2. see reference [2] modified use the modified...n_components = 2 ) >>> embedding . shape (100, 2) Gallery examples...scikit-learn.org/stable/modules/generated/sklearn.manifold.locally_linear_embedding.html -
LedoitWolf — scikit-learn 1.7.2 documentation
2 ], ... [ .2 , .8 ]]) >>> np . random...Multivariate Analysis, Volume 88, Issue 2, February 2004, pages 365-411....scikit-learn.org/stable/modules/generated/sklearn.covariance.LedoitWolf.html -
3.4. Metrics and scoring: quantifying the quali...
y_true = [ - 2 , - 2 , - 2 ] >>> y_pred = [ - 2 , - 2 , - 2 ] >>> r2_score...y_true = [ - 2 , - 2 , - 2 ] >>> y_pred = [ - 2 , - 2 , - 2 + 1e-8...scikit-learn.org/stable/modules/model_evaluation.html -
brier_score_loss — scikit-learn 1.7.2 documenta...
2 , 0.7 , 0.1 ], [ 0.2 , 0.2 , 0.6 ]], ... labels...by 1/2 to lie in the [0, 1] range instead of the [0, 2] range....scikit-learn.org/stable/modules/generated/sklearn.metrics.brier_score_loss.html