columns=["col1", "col2"])
dfpred.head()
col1 col2
0 0.000 1.000
1 0.000 1.000
2 1.000 0.000
3 1.000 0.000
4 0.979 0.021
How should I interpret those columns?
In the case of CatboostClassifier used on binary target, it is the probabilities for the two classes. In this case i find it a bit surprising.
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