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!
Yes, when there is no overlap and the two curves are perfectly separated, the AUC is 100%. I guess the first ROC (at 7:22) has implicit extending curves that are not drawn.
I dont mean to be offtopic but does someone know a method to get back into an Instagram account..? I was dumb lost my password. I appreciate any help you can offer me!
@Gideon Dariel I really appreciate your reply. I got to the site through google and im trying it out atm. Seems to take a while so I will reply here later with my results.
Actually the distribution function doesn't terminate within that separation line....it goes asymptote to the probability axis causing little overlapping
Hi, I am confused about the cutoff point for most of the true positives, the highest positive predictive value, the lowest negative predictive value and the highest specificity on graph. At what point, I get most of the true positives and at what point I get the highest specificity. I hope someone clarifies these. I would be much more appreciated.
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 :)
Is the shape or slope of the ROC curve an expression for the odds of having the disease ? For the last ROC curve that is a linear line, the probability of having a disease = the probability of not having it meaning the odds are 1 thus the line is linear, no?
Thank you sir for solving the 'mystery' of the 1-Specificity. It was truly confusing but now crystal clear.
You are a good teacher, the best explanation of ROC and AUC I have come across yet!
Excellent.. I 'll never forget these concepts and excellent presentation..
Excellent explanation of ROC and AUC. The icing is how ROC got its name!
Great job. I really liked the use of colors to explain. It made it very easy to understand. Thanks
Damn!, why didn't I find this video first? You got a new subscriber with this explanation. On point, clear, no confusion!
Great congratulations and thank you for sharing
Great video. Cleared a lot of confusion. Thank you
Excellent, very clear and concise!
Truly one of the best videos on the subject!
Excellent explanation, thank you!
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!
Thank you for the presentation! Really like the example!
Excellent explanation , u are a great teacher , thank you ❤️
BEST EXPLANATION ! THANK YOU!
great job Rahul. Thank you very much! Keep on!
Awesome video. Thank you so much for all your work!
excellent review!Thank you soooo much
Thorough and clear. Thanks.
Thank you so much for your excellent explanations!!!
This video explained ROC and AUC better than that any of what i have seen in China.
You really explained ROC well. Thank you!
Brilliant! Very helpful and informative..
Outstandingly clear!
You're like the Brandon Foltz of Epidemiology! Love the videos, very well explained and easy to grasp in a couple of minutes. Bravo
Great work!
Terrific, clear and interesting!!!! Thank you!!!
This video explained ROC and AUC 1000x better than my professor did. Thank you!!!
Excuse me, when there is no overlap between the two curves, The ROC should be 100%, not 90%.
Yes, when there is no overlap and the two curves are perfectly separated, the AUC is 100%. I guess the first ROC (at 7:22) has implicit extending curves that are not drawn.
I dont mean to be offtopic but does someone know a method to get back into an Instagram account..?
I was dumb lost my password. I appreciate any help you can offer me!
@Holden Rey instablaster :)
@Gideon Dariel I really appreciate your reply. I got to the site through google and im trying it out atm.
Seems to take a while so I will reply here later with my results.
excelent work !!! Congratulations
Thank you so much! This was very helpful
Perfect explanation. thx
A great video! Thanks a lot
Great video!!!!!
Great video clip!
Very helpful. thank you
awesome video. thanks
perfect video you are amazing
great video
well explained thank you sir
Thanks, very well explained :)
very helpful, thank you
good explanations!
such a beautiful explanation!!! thanks a lot :)
great video ty
Thank you for this perfect video ❤😍
Amazing
Awesome.
This is great! he just sounds alittle like the joker.
"see im not a monster, im just ahead of the curve"
I learned More Thank you!
BREATHTAKING EXPLANATION
Thanks
WOW, thank you!
why is FP and FN assumed if both graphes overlap??
you ROC!
nice graph, more colour... :)
Excellent video. I really wanted to give you ten thumb-ups instead of one , but the system did not allow me to do so...........
Excuse me, when there is no overlap between the two curves, The ROC should be 100%, not 90%.
Actually the distribution function doesn't terminate within that separation line....it goes asymptote to the probability axis causing little overlapping
perfect. THANK YOU SO MUCH :))
it helped me alot, thanks :))
Hi, I am confused about the cutoff point for most of the true positives, the highest positive predictive value, the lowest negative predictive value and the highest specificity on graph. At what point, I get most of the true positives and at what point I get the highest specificity. I hope someone clarifies these. I would be much more appreciated.
great thx
best
Except you totaly failed at labeling your axes of the graphs, yes this is a brilliant explanation ;)
Bauss videos
Sorry for my lewd language, but I bet that's the best fucking explanation. Well, at least for me :))
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 :)
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!
Is the shape or slope of the ROC curve an expression for the odds of having the disease ? For the last ROC curve that is a linear line, the probability of having a disease = the probability of not having it meaning the odds are 1 thus the line is linear, no?
I went straight to subscribe button after watching your vedio....
Excellent! Great explanation of ROC that I've seen!
Thank You so much sir.
Thank you so much, great explanation!
Yaaa ofcourse!
Better explanation👍
Much more useful
Love from 🇮🇳 India
I'm starting a data mining course and wow, this video was really useful! Could you do the same for the Lift curse? Thanks Rahul!
Loved the way you brought history and WWII into med stats!!!
Can you please write down the exact equation to find out the Aear under the ROC curve?
ROC was never this understandable.... escpecially the name
Here comes another subscriber..you explained it so well!
very concise, thank you! cool WWII info
Damn... That was excellent... Thank u for making it clear ..
You have made this very confusing topic very easy and crystal clear. Thank you Sir.
wow.. this is by far the best explanation ive heard about the ROC curve.. thank u so much sir.. God bless u.. :)
very very efficient and understandable ,thank you
Thanks, I really learned a lot from this video, but more so from the previous video on sensitivity and specificity.
Thank u very much.... Much appreciated... 👍👍
fantastic video! Pace and explanation exemplary
Beautiful explanation!!
Thank you.
Great job! Thank you so much!!!
Brilliant. After years of studying these concerts I finally get it!
Thanks, very nicely explained.
Thank you very much. It is very useful
Awesome. Really helpful. Thank you
fantastic. great clarity
Thank you! Very well explained!
Excellent video, congrats!!!
NICE VIDEO MY BRO, GG
very well explained.... Thank rahul.
excellent tutorial. many thanks
could never be better,,,great thanks
Great video and explanation! Thanks!!