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When applying woebin into a dataframe, there is a occasional bug that happens if:
that feature has missing value;
in woebin, you make a bin with special value = 0
Example:
This feature will be ok applying on a dataframe, since it has no special value
!However, the following two feature:
If the to-be-applied dataframe has value 0, it will be given woe = -0.841608( [-inf,0.1) bin ) which is false
should be 0.529374 instead.
I kind of quick fixed by trying to force where my original data value = 0, I give it the true woe value(0.529374) instead.
Summary in traditional chinese:
簡單來說就是如果該dataframe,該特徵有missing value且在woebin有設定special value = 0,則所有0會被給予下一個(bin)分箱的值
The text was updated successfully, but these errors were encountered:
I know the woebin_adj function is not so stable. I'll fix it if I have time in the future.
You can try to use the R version package which is much mature.
When applying woebin into a dataframe, there is a occasional bug that happens if:
Example:
This feature will be ok applying on a dataframe, since it has no special value
!However, the following two feature:
If the to-be-applied dataframe has value 0, it will be given woe = -0.841608( [-inf,0.1) bin ) which is false
should be 0.529374 instead.
I kind of quick fixed by trying to force where my original data value = 0, I give it the true woe value(0.529374) instead.
Summary in traditional chinese:
簡單來說就是如果該dataframe,該特徵有missing value且在woebin有設定special value = 0,則所有0會被給予下一個(bin)分箱的值
The text was updated successfully, but these errors were encountered: