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evaluation metrics and task clarification
Help · 3 Jul 2020, 21:45 · 7
can anyone please help, am having issues calculating log loss.
The error states that; y_true and y_pred contain different number of classes 4, 2. Please provide the true labels explicitly through the labels argument. Classes found in y_true: [0 1 2 3].
I have substituted the classes with the labels, but to no avail, the code didn't run. Can you please help.
Hi Zion, use labels argument in log_loss(), and do log_loss(y_true, y_preds, labels=[0,1,2,3]). Then it will work.
Alright. Thanks
@c , I treated this as a classification because in training dataset non of the data point belongs to more than one class. So if you don't have multi-labeled training data, we can't train a multi-label ML model.
Hey, this can be treated as a multi-label problem as there are few same and many similar statements having different labels, but I tried it initially and the cv and LB scores were worse. So I left this idea but looking at the data set it was my first intuition. Hoping to hear from someone who was successful in this approach after the competition.
But the success is relying on if the test dataset labeled as multi-label if not then chances of success are less in my opinion.
Yes, you are right.