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목록2019/06/21 (1)
TEAM EDA
Instant Gratification
Preprocessing Feature Selection with variance KERNEL PCA Try and Fail : PCA, SVD, AutoEncoder, DAE etc Feature Engineering We used the following three methods to make variable of the distribution of the dataset. GMM_PRED GMM_SCORE HIST_PRED By the way, one of the mistakes I found was that GMM_PRED and GMM_SCORE would increase their score if they were duplicated. The results below are still a mys..
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2019. 6. 21. 09:30