to use AUC-ROC: comparing classifiers across all thresholds

Why can't we always trust a yes-or-no answer?

Image: after John Snow, Public domain, via Wikimedia Commons

to use AUC-ROC: comparing classifiers across all thresholds

Why can't we always trust a yes-or-no answer?

Imagine you're trying to decide if a person is a good friend based on a single yes-or-no question. You might miss out on someone who could be great because you didn't ask enough questions.

A single yes-or-no question is like checking only one point on a graph to judge a friend's quality. We need to look at the whole graph, which shows how good the friend is at different levels of friendliness, to make a better decision.

Example

If you ask someone "Are you a good friend?" and they say yes, you might think they're great friends. But what if they're just good at saying yes? You need to ask more questions at different levels of friendliness to get the full picture.

Remember this

The AUC-ROC curve helps us see how well a decision rule works at all levels, not just at one point.

Related concepts

Swipe through 100 ML concepts daily

Open Pocket Polymath