1.13. Feature selection

1.13. Feature selection# The classes in the sklearn.feature_selection module can be used for feature selection/dimensionality reduction on sample sets, either to improve estimators’ accuracy scores or to boost their performance on very high-dimensional datasets. 1.13.1. Removing features with low variance# VarianceThreshold is a simple baseline approach to feature selection. It removes all feature

[mooz]

Scikit. Univariate feature selection, Recursive feature elimination, L1正則化などで特徴選択がおこなえる。