728x90 반응형 classification1 Data Mining , Classification tree + Regression tree + Bagging Bagging (배깅) - 배깅의 목적은 분산 감소 - generate B different bootstrapped training data sets using random sampling with replacement from Z data set: - compute f ̂_1^∗ (x), f ̂_2^∗ (x),…, f ̂_B^∗ (x) by training the method on B different training sets - finally average all the predictions - Regression tree에 bagging을 적용하기 위해서는 B개의 bootstrapped training sets을 사용하여 B개의 regres.. 2021. 12. 14. 이전 1 다음 추천 글 728x90 반응형
