scikit-learn feature importance計算方式應該是損失降低量，而不是分支次數吧?
2019/09/28 11:50 上午
機器學習共學討論版
林冠廷
觀看數：44
回答數：2
收藏數：0
ml100-3
ml100-3-d31
The importance of a feature is computed as the (normalized) total reduction of the criterion brought by that feature. It is also known as the Gini importance.
想請問下，這是scikit-learn上feature importance的敘述，計算方式似乎比較像是講義pdf中的第三種計算方式:損失降低量，而不是分支次數吧?