Understanding roc curves for multiclass examples

I know there are questions similar to this one, I am not trying to know how to code this (I did find the code looking at other questions), I am trying to understand what it means and what the code is doing.

In here it describes how to plot the roc curve and calculate the auc score for a multiclass example. I am trying to figure out what the micro and macro-average curves are. Also, it is not clear to me how the ROC curve for each feature are calculated, is it for each one as if it were a one vs all?

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Category: python Time: 2016-07-31 Views: 3

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