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TEST2631c2d9b6sklearn.feature_selection._univariate_selection.SelectPercentile
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TEST2631c2d9b6sklearn.feature_selection._univariate_selection.SelectPercentile
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Uploaded 17-10-2024 by
Continuous Integration
sklearn==1.2.2 numpy>=1.17.3 scipy>=1.3.2 joblib>=1.1.1 threadpoolctl>=2.0.0
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Select features according to a percentile of the highest scores.
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Supervised Classification
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area under roc curve
average cost
binominal test
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class complexity gain
confusion matrix
correlation coefficient
cortana quality
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kappa
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kohavi wolpert error
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kohavi wolpert variance
kononenko bratko information score
matthews correlation coefficient
mean absolute error
mean class complexity
mean class complexity gain
mean f measure
mean kononenko bratko information score
mean precision
mean prior absolute error
mean prior class complexity
mean recall
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prior class complexity
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pattern team auroc10
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