20 3229 TEST74f5b23ed7sklearn.feature_selection._variance_threshold.VarianceThreshold sklearn.VarianceThreshold sklearn.feature_selection._variance_threshold.VarianceThreshold 1 openml==0.16.0,sklearn==1.7.2 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. 2026-01-20T10:48:52 English sklearn==1.7.2 numpy>=1.22.0 scipy>=1.8.0 joblib>=1.2.0 threadpoolctl>=3.1.0 threshold float 0.0 Features with a training-set variance lower than this threshold will be removed. The default is to keep all features with non-zero variance, i.e. remove the features that have the same value in all samples. openml-python python scikit-learn sklearn sklearn_1.7.2