This video explained ROC and AUC 1000x better than my professor did. Thank you!!!

May I say that this was SO clear and clinically relevant. THANK YOU A TON from a doc who needs to understand big picture fast!

I really was struggling to understand this material upon learning it in my Psych class, but after watching this video I completely understand it now. Thank you for such a clear and simple explanation! Subscribed :)

Thank you sir for solving the 'mystery' of the 1-Specificity. It was truly confusing but now crystal clear.

Brilliant. After years of studying these concerts I finally get it!

Loved the way you brought history and WWII into med stats!!!

You have made this very confusing topic very easy and crystal clear. Thank you Sir.

Thank you so much, great explanation!

You are a good teacher, the best explanation of ROC and AUC I have come across yet!

Damn!, why didn't I find this video first? You got a new subscriber with this explanation. On point, clear, no confusion!

Excellent explanation of ROC and AUC. The icing is how ROC got its name!

Excellent.. I 'll never forget these concepts and excellent presentation..

Great job. I really liked the use of colors to explain. It made it very easy to understand. Thanks

wow.. this is by far the best explanation ive heard about the ROC curve.. thank u so much sir.. God bless u.. :)

Excellent! Great explanation of ROC that I've seen!

l have been trying for a while to understand this concept..best explanation..thank you and God bless

Excellent Explanation! These principles affect EVERY field: satellite comms, or encoding symbols in magnetic storage mediums like HDDs, = "inter symbol interference"; Medical tests = you covered it; statistics = "inference testing"; Microscopy and remote sensing = spectral resolution (rayleigh criterion).....everywhere in science!

Brilliant! it is just brilliant. No other words can describe my joy after cracking this concept.

Great video. Cleared a lot of confusion. Thank you

Wonderful explanation! This type of curves are also applied to check how good a model of species distribution discriminate

This was the best explanation I have found so far!!!!!

Excellent, very clear and concise!

Excellent explanation, thank you!

Thank you for the clear explanation. Save me lots of time on reading but still not understanding!

Truly one of the best videos on the subject!

Thank you so much, your explanation on this topic is very easy to digest yet very informative.

Super explanation. Loved it. Would like to see more of your videos now

Thanks, I really learned a lot from this video, but more so from the previous video on sensitivity and specificity.

Beautiful explanation!! Thank you.

You're like the Brandon Foltz of Epidemiology! Love the videos, very well explained and easy to grasp in a couple of minutes. Bravo

Wow, this is the best video explaining ROC and AUC

Excellent presentation!Thank you very much!

could never be better,,,great thanks

I went straight to subscribe button after watching your vedio....

Here comes another subscriber..you explained it so well!

Great congratulations and thank you for sharing

Excellent KZfaq explanation of ROC and AUC

great job Rahul. Thank you very much! Keep on!

BEST EXPLANATION ! THANK YOU!

very well explained and illustrated - perfect! Thank you very very much!

Awesome video. Thank you so much for all your work!

Excellent explanation , u are a great teacher , thank you ❤️

fantastic video! Pace and explanation exemplary

wowowowowowowwo you saved my life!!!!!!!!!!! i thought i was naturally unable to comprehend this concept when my prof was teaching us in his way, but after your video, it seems that i'm not too stupid :D

Thank you for the presentation! Really like the example!

Amazing video! Great explanation. Cool and calm voice!

Damn... That was excellent... Thank u for making it clear ..

Extremely well put together ! Thanks a million .

Dude you totally saved my midterm

You really explained ROC well. Thank you!

Beautifully explained. Thank you.

This video explained ROC and AUC better than that any of what i have seen in China.

Thanks, very nicely explained.

very concise, thank you! cool WWII info

Much more useful Love from 🇮🇳 India

Thank you for this! I was having a hard time understanding ROC's with the book, but this made it so much easier to understand! Thank you so much! Also loved the radar stuff at the end! :)

Awesome video... Thank you for such a clear explanation

Thank you so much for your excellent explanations!!!

great visual explanation!

Great explanation sir! Thank you for your time explaining this.

Brilliant! Very helpful and informative..

Excellent video, congrats!!!

fantastic. great clarity

very very efficient and understandable ,thank you

Thank you so much! This was very helpful

what a fantastic video- thank you

Really awesome explanation man.... So clear and cool... keep it up

Thank you! Very well explained!

Good explanation, Rahul. I've recommended this to students in my S&P course before, but have stopped due to the questions regarding what the distributions represent. As described early on, your x-axis represents levels of a particular test. What tends to be challenging for students is entertaining that a single test for a disease can have a range of values; they tend to consider it as you either do or do not have a disease. COVID tests may be a good example to consider to clear up any confusion. Older tests have been used to detect if you have the virus or not. The histograms in the video would not represent that kind of test. The newer tests are looking to determine if someone may be immune to the disease based on antibody levels; lower levels indicate more vulnerability. That type of test would work with your examples--the blue representing populations that are still vulnerable, the green representing populations that are immune. This is still histograms of populations, but the ranges make more sense. What's yet to be determined is what anti-body level is appropriate to confidently state that someone is immune. Given how little we know about the disease, you could extend this example to include more overlap (a lower d') and a shift of the cutoff to the right to encourage specificity--the public health benefit is not to determine whether an individual has antibodies, but whether they have enough antibodies; only the individuals who have the highest levels of antibodies would be confidently designated as immune (though still contagious).

Thorough and clear. Thanks.

That's what I call an explanation. Thank you!

That was a real piece of art :) Thanks

what a vivid explanation !!

This is great ..very clear and communicative..thanks

Awesome. Really helpful. Thank you

excellent review!Thank you soooo much

Thank You so much sir.

Great job! Thank you so much!!!

Nicely done, sir!

Very nice video, thank you!

excellent tutorial. many thanks

Great explanation! Thanks!

Terrific, clear and interesting!!!! Thank you!!!

superb ...love this video

Thank u very much.... Much appreciated... 👍👍

Very good explanation.

Really awesome video, thanks for this!

Nice history lesson!

Thank you for great explanation!

Outstandingly clear!

Very clear explanation. Thank you.

Thank you! Really good video.

the best one I have seen!

wow, thanks. one of the best explanations i've seen!

excelent work !!! Congratulations

Great video and explanation! Thanks!!

Thank you for your great explanation =)

very well explained.... Thank rahul.

Thank you very much. It is very useful

Excellent video