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PrecisionRecallDisplay — scikit-learn 1.8.0 doc...
y_true is in {-1, 1} or {0, 1}, pos_label is set to 1, otherwise...version 1.8: y_pred is deprecated and will be removed in 1.10. Use...scikit-learn.org/stable/modules/generated/sklearn.metrics.PrecisionRecallDisplay.html -
DistanceMetric — scikit-learn 1.8.0 documentation
10.63...] [5.65..., 8.48...] [1.41..., 4.24...]])...arcsin(sqrt(sin^2(0.5*dx) + cos(x1)cos(x2)sin^2(0.5*dy))) Metrics...scikit-learn.org/stable/modules/generated/sklearn.metrics.DistanceMetric.html -
det_curve — scikit-learn 1.8.0 documentation
([ 0 , 0 , 1 , 1 ]) >>> y_scores = np . array ([ 0.1 , 0.4 ,...fpr array([0.5, 0.5, 0. ]) >>> fnr array([0. , 0.5, 0.5]) >>> thresholds...scikit-learn.org/stable/modules/generated/sklearn.metrics.det_curve.html -
cohen_kappa_score — scikit-learn 1.8.0 document...
which is a number between -1 and 1. The maximum value means complete...function computes Cohen’s kappa [1] , a score that expresses the...scikit-learn.org/stable/modules/generated/sklearn.metrics.cohen_kappa_score.html -
zero_one_loss — scikit-learn 1.8.0 documentation
array ([[ 0 , 1 ], [ 1 , 1 ]]), np . ones (( 2 , 2 ))) 0.5 On this...y_pred , normalize = False ) 1.0 In the multilabel case with binary...scikit-learn.org/stable/modules/generated/sklearn.metrics.zero_one_loss.html -
additive_chi2_kernel — scikit-learn 1.8.0 docum...
X = [[ 0 , 0 , 0 ], [ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1...1 , 1 , 0 ]] >>> additive_chi2_kernel ( X , Y ) array([[-1.,...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.additive_chi2_kernel.html -
ParameterGrid — scikit-learn 1.8.0 documentation
[{ 'a' : 1 , 'b' : True }, { 'a' : 1 , 'b' : False },...'kernel' : [ 'rbf' ], 'gamma' : [ 1 , 10 ]}] >>> list ( ParameterGrid...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ParameterGrid.html -
ParameterSampler — scikit-learn 1.8.0 documenta...
'b' : 0.89856 , 'a' : 1 }, ... { 'b' : 0.923223 , 'a' : 1 }, ......... { 'b' : 1.878964 , 'a' : 2 }, ... { 'b' : 1.038159 , 'a' : 2...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ParameterSampler.html -
permutation_test_score — scikit-learn 1.8.0 doc...
p-value is 1/(n_permutations + 1), the worst is 1.0. Notes This...n_permutations = 100 , n_jobs = None , random_state = 0 , verbose = 0 , scoring...scikit-learn.org/stable/modules/generated/sklearn.model_selection.permutation_test_score.html -
KFold — scikit-learn 1.8.0 documentation
) Fold 0: Train: index=[2 3] Test: index=[0 1] Fold 1: Train:...X = np . array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]])...scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html