NO.PZ202208300200000703
问题如下：
Which of the methods Martin considers to address potential feature correlation is the most suitable?
选项：
A.Method 1
B.
Method 2
C.
Method 3
解释：
C is correct.
Method 3 is principal components analysis (PCA). In a dataset with many
correlated features, as Martin has, PCA could be used. PCA reduces the number
of variables needed to explain the variation in the data.
A is incorrect.
Method 1 is the ensemble method. This method combines the predictions from
multiple models; it does not combine features.
B is incorrect.
Method 2 is the bagging method. This method increases the number of datasets by
sampling randomly from the original dataset. It does not change the number of
features.
为啥是PCA呢，其他两个为啥不行