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TEST5b4598db0bsklearn.feature_selection._variance_threshold.VarianceThreshold
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TEST5b4598db0bsklearn.feature_selection._variance_threshold.VarianceThreshold
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Uploaded 04-11-2024 by
Continuous Integration
sklearn==1.5.2 numpy>=1.19.5 scipy>=1.6.0 joblib>=1.2.0 threadpoolctl>=3.1.0
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openml-python
python
scikit-learn
sklearn
sklearn_1.5.2
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Feature selector that removes all low-variance features. This feature selection algorithm looks only at the features (X), not the desired outputs (y), and can thus be used for unsupervised learning.
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area under roc curve
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class complexity
class complexity gain
confusion matrix
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cortana quality
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mean absolute error
mean class complexity
mean class complexity gain
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mean kononenko bratko information score
mean precision
mean prior absolute error
mean prior class complexity
mean recall
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