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TEST2a8032ef33sklearn.feature_selection._univariate_selection.SelectPercentile
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TEST2a8032ef33sklearn.feature_selection._univariate_selection.SelectPercentile
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Uploaded 12-11-2024 by
Continuous Integration
sklearn==0.23.1 numpy>=1.13.3 scipy>=0.19.1 joblib>=0.11 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
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kohavi wolpert variance
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matthews correlation coefficient
mean absolute error
mean class complexity
mean class complexity gain
mean f measure
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mean precision
mean prior absolute error
mean prior class complexity
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