[SOLVED] help with strange ROC interpretation
makak
New Altair Community Member
Hi community,
I have a ROC curve in AUC performance criterion (screenshot here - http://i.imgur.com/2q9F3gs.png?1) and I am not sure how to interpret it. I mean the beginning of ROC and threshold curve, it looks like first few percent of x-axis are false positives with highest confidence (1). Isn't this strange? Or I am just interpreting it wrong. Any comment, help would be very appreciated.
Thank you.
I have a ROC curve in AUC performance criterion (screenshot here - http://i.imgur.com/2q9F3gs.png?1) and I am not sure how to interpret it. I mean the beginning of ROC and threshold curve, it looks like first few percent of x-axis are false positives with highest confidence (1). Isn't this strange? Or I am just interpreting it wrong. Any comment, help would be very appreciated.
Thank you.
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Answers
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Well, the interpretation was right, model really predicted many false positives with highest ranks. I have to play with model parameters...
Sorry for spamming...0