From e6360a5f8dccc8525e25a095a3c295e7245fc431 Mon Sep 17 00:00:00 2001
From: StaticmanBot <44653424+StaticmanBot@users.noreply.github.com>
Date: Sat, 29 Oct 2022 02:42:45 +0200
Subject: [PATCH] You have a new comment on your website.

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+_id: 9a336f00-5722-11ed-951d-6753f2b9de56
+path: post/machine-learning/interpreting_roc_curves.html
+name: Juan
+email: d6550112f6a27da8c4596d6a2e63bc6c
+message: "Hello.\r\n\r\nWhat if we are using weights or a cost matrix to compensate the imbalance?\r\nWill it be still be preferred to use the AUC PR metric?\r\nOr using weights or cost matrix it’s enough and then we can use the AUC ROC curve or even the Accuracy as a metric to optimize our model?\r\n\r\nAnd vice versa, if you use the AUC PR as our metric...   do we need to also use weights or cost matrices?"
+date: '2022-10-29T00:42:44.779Z'