ROC Curves and Area Under the Curve (AUC) Explained

An ROC curve is the most commonly used way to visualize the performance of a binary classifier, and AUC is (arguably) the best way to summarize its performance in a single number. As such, gaining a deep understanding of ROC curves and AUC is beneficial for data scientists, machine learning practitioners, and medical researchers (among others).

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[kowloon]

excellent explanation, the best that I have seen so far.

[metaprogand]

Likely the best explanation I've seen on ROC & AUC curves. Succinct yet thorough. The visualizations were extremely helpful. Nicely done.

[karthikeyanradhakrishnan]

I was searching in the net for videos and reading articles everywhere, but this is "The Best" Explanation I've found. Great work!

[alifallah]

"If you can't explain it simply, you don't understand it well enough". YOU KILLED IT BRO! VERY WELL EXPLAINED!

[nickbohl]

I need to watch this a few more times to understand how it applies to my use-case, but this is a great overall explanation. Thank you for this!

[prateeksingh]

I have never seen an explanation of ROC-AUC better than this...thank you so much

[antonio_]

THIS IS THE BEST EXPLANATION OF ROC-AUC ON YOUTUBE!

[phector]

after 10 minutes of scratching my head looking at a dozen unlabeled lecture slides, I found this video. Thanks a lot for the clear explanation!

I also now understand why an AUROCC of 0 would be a horrible / "excellent but mislabeled" test

[abanser]

GA must be mourning your departure. You are an incredible instructor and are very skilled at making complex material reachable to a wide audience. I see why this is the most popular video in your channel. I wish you great success in your Data School venture.

[twofour]

Excellent work! Thanks very much Kevin, your video explaining ROC and AUC is the most intuitive one I have ever seen. Before watching this, it was still a little confusing for me, now I have a clear understanding of ROC and AUC.

[alfckchung]

This is the best mental model to explain ROC/AUC I seen so far, thanks a lot!

[baqarrizvi]

That's the best explanation in very simple words. Wow, man I wish the rest of the teachers in the whole world
could be like you.

[Bastuun]

hot dawg, man, why do people in this field overcomplicate things so damn much. here is an accessible, free, easy to understand without sacrificing the innate complexity of the method message. Thank you, Data School crew!

[bhaumikanirban]

undoubtedly one of the best explanation of ROC curve!!

[RAMALINGAMvenkatachalam]

I am a Professor CSE from Annamalai University. The explanations given are very much appreciable. God bless you for ever your service with growth.

[nkt]

This is the best video on ROC and AUC that I have seen on YouTube. Great work Data School!

[KinglySkills]

Schrödinger (a large company develops software for drug discovery) linked this to one of their course material's additional resources so I went and watched this. No wonder they had this video there, as the subject was really well explained on the video

[krishnasa]

A crisp and clear explanation, Thank you very much.

[AbdoEldesokey]

I always had a problem with understanding ROC, but for the first time I understood them flawlessly.
Thank you very much for this excellent video.

[Tedworth]

Thank you so much for this video. Your logical, cumulative explanation and clear visuals have made the rationale for using ROC curves and AUC far easier to understand. I'll be subscribing to your channel immediately!