Comments (4)
We will have a look into it.
In the meantime, you can also suppress the warnings yourself:
https://stackoverflow.com/questions/32612180/eliminating-warnings-from-scikit-learn
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You can usually ignore the warning. It is just a reminder for you that there are some values in the target column that are impossible to be predicted.
The warning comes from sklearn and tells you that some observations in the target are less than the number of splits. That means that those members of the target variable won't be able to be predicted during crossvalidation which is fine because they are so rare anyway ...
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Is it possible to handle it inside your code? one time seeing this warning is ok. now it spams :D
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@reza1615 disregarding the warning messages, are you getting the same results like the ones in the article? I am getting different values for the Titanic dataset, issue #4 and getting the same warning message as you do.
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Related Issues (20)
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