Comments (1)
aapatel09
commented on July 18, 2024
preds = pd.concat([y_train,predictionsBasedOnKFolds.loc[:,1]], axis=1) will return the prob1, which is what we want. The "1" refers to the prob1 here.
preds would return:
index trueLabel prediction
1 0 .1
This is what we want. We want prob1 to be returned so that when the label is 1, prob1 is close to 1 (ideally), and when the label is 0, prob1 is close to 0 (ideally).
Please let me know if you still have questions about this. Happy to clarify this more.
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