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By default, the guess column is assigned to 0. In many use cases, there may not even be a 0 class. Instead, assign guess to the most common class in the training set.
The text was updated successfully, but these errors were encountered:
Related to that, the "positive" class label is always always assumed to be 1, right? (E.g., for computing metrics other than accuracy like precision, recall, F1 and so forth)?
Okay, maybe -- in far future -- it would be worthwhile adding a feature for accepting a custom scorer via scikit-learn (since everything depends on scikit-learn) so that the user can choose whatever performance metric, positive label, and "greater is better: True/False" setting the user may prefer.
By default, the
guess
column is assigned to 0. In many use cases, there may not even be a 0 class. Instead, assignguess
to the most common class in the training set.The text was updated successfully, but these errors were encountered: