ROC & AUC Simplest Example

ROC (Receiver Operator Characteristic) graphs and AUC (the area under the curve), are useful for consolidating the information from a ton of confusion matrices into a single, easy to interpret graph. This video walks you through how to create and interpret ROC graphs step-by-step.
If you do have any questions with what we covered in this video then feel free to ask in the comment section below & I'll do my best to answer those.
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You can find me on:
GitHub - github.com/bha...
Medium - / bhattbhavesh91
#auc #roc #machinelearning #python #deeplearning #datascience

[@rodrigo5309]

Nothing better than doing it by hand. Thanks, this is the best video I could find that makes me understand which threshold to use in each situation.

[@bhattbhavesh91]

You're very welcome!

[@rob-890]

Great an actual learning video, not just someone plugging values into a library!

[@ethantriplett4394]

This cannot be said enough

[@iwantolearnmath]

Mast explanation bro... Pretty soon every famous data scientist in US will have desi tutors behind him 😂

[@deepanmaitra4018]

This is the best explanation till date, I was trying to understand it for so long, you've made it fully clear!

[@bhattbhavesh91]

Glad it helped!

[@RAVIKUMAR-qg1yp]

Thanks a lot. The most lucid information I found on the net. Keep up the good job.

[@hessamous]

This is the best and simplest explanation of all. Well done Bhavesh!

[@bhattbhavesh91]

I'm glad you liked it 😊

[@Naton]

i had no idea what is this about, but now i do. Haha neatly explained

[@riyarawat9218]

A very good and easy to understand tutorial for the AUC concept. Please continue to make this kind of videos. Thank you very much.

[@vipinrajpoot6688]

Nice one bro

[@rock51praveen]

A very clear way of explaining the concepts...awesome...continue to make more videos...good work bro :)

[@waqaralam7519]

bhai dil jit liye app

[@akashpawar8798]

Akash Pawar:
Sir its grt,bt if uh make a series on how to start learning data science or ML it would be more helpful,cz its a step by step video tutorials,for beginners like me who want to make their carrer in data science,

[@srinadhvemireddi1488]

Very clearly explained

[@bhattbhavesh91]

I'm glad you liked the explanation

[@laa34]

Thank you very much!!!! Your explanation was very clear and detailed. I now finally know how to plot the AUC curve.

[@bhattbhavesh91]

Glad it helped!

[@Abhi140294]

Bro make more videos like these u are amazing

[@RahulJha-kb8cu]

Great bhai..keep uploading.

[@Raja-tt4ll]

Nice

[@Engycation]

Very Nice Video Go A Head

[@bhattbhavesh91]

Many many thanks

[@harshalhirpara4589]

Well - explained.. understood everything

[@maheswarareddy2008]

Thank You Bhavesh, A very neat and clean explanation.

[@khalilld728]

good job, thank you Sir🙏

[@bhattbhavesh91]

Most welcome

[@kamilausmanova6398]

The best!

[@bhattbhavesh91]

Glad it was helpful!

[@compeng_sensor754]

Best explanation so far! Thanks bro

[@bhattbhavesh91]

You're welcome!

[@kalyansunku]

Awestruck explanations :-). Keep posting more videos

[@thirupathireddy6149]

Good Explaination Bhavesh. Thank you

[@deeptigupta518]

Amazing video.....Very lucid explanation.Good Work>becominf a fan of you day by day by watching the videos

[@bhattbhavesh91]

Thank you so much 😀

[@raviv1752]

Thank U for video

[@bhattbhavesh91]

Most welcome

[@alfckchung]

Thanks for the well-explained calculation process.

[@bhattbhavesh91]

Glad it was helpful!

[@VinitNeogi]

Excellent content. Keep it up

[@matheusbarros9719]

wonderful, god bless you pal

[@elviskodakahuamani7802]

Thanks so much!

[@bhattbhavesh91]

You're welcome!

[@jenniferaduwo6635]

Great teacher, thank you

[@lovefrommars7468]

In the case of logistic regression there is THRESHOLD to change...but in other ml algo...what to change and then compare performance

[@emishady9742]

noiceeee Explanation ......

[@bhattbhavesh91]

Glad you liked it

[@leichu6218]

謝謝！

[@vigneshvicky6720]

Super💥💥

[@bhattbhavesh91]

Thank you!

[@vamshir1943]

Really excellent Explanation ..:)

[@DataMaking]

Good one brother 🙏👍

[@jongcheulkim7284]

Thank you^^

[@bhattbhavesh91]

You're welcome 😊

[@subhananda8932]

Excellent explanation

[@shaelanderchauhan1963]

That explained very well mate!

[@bhattbhavesh91]

Glad you liked it

[@aanchaldogra]

Thank you bhavesh bhai... Your latest subscriber.

[@bhattbhavesh91]

Welcome 👍

[@ghadialhajj]

Great Explanation!

[@bhattbhavesh91]

Glad it was helpful!

[@benjaminbenjamin8834]

Awesome!

[@rajeevteejwal]

Nice explanation.

[@jyotigoyal2295]

Very nice explanation sir...

[@bhattbhavesh91]

Thanks for liking

[@ChiragSinghishere]

Good one bro

[@anuragsharma1953]

Nice explanation Bhavesh :)

[@sheikhseerat7105]

👍

[@bhattbhavesh91]

Thank you :)

[@munnabhaimbbs9716]

fruit full, last part should be extended

[@bhattbhavesh91]

Thank you so much :)

[@purelogic4533]

You are left handed! Good work

[@venkatabharatvarmanamburi3385]

Really appreciate it. You saved my ass

[@arunkumarr6660]

Can you please explain how Auc-ROC works for Non-probabilistic Classifiers like Decision Tree

[@abhijeetupadhyay5129]

When I say AUC = 0.8, what does it tell about the model ? Like Accuracy & Concordance have a very straight forward & intuitive meaning, what's the same kind of explanation for AUC?

[@bhattbhavesh91]

AUC = 0.8 tells me that there is very little overlap between positive class samples & negative class samples and thus the classifier is doing a good job! Higher the value of AUC, the better your model is.

[@sahilbajaj7809]

when calculating threshold at every point do we have to compare it with the Ya?

[@akhilabrai6966]

Good explanation.. What is the minimum sample size to calculate this?

[@adewaleadeyeye4573]

Thank you for this video. Can I calculate ROC for qualitative test?

[@Ankitsharma-vo6sh]

can u please send a code roc and suc in python

[@abhijeetwaghmare4573]

why we called roc as a probability curve..??

[@abbadurrehman663]

do u have an example of ROC for 3x3

[@saifhassan04]

Great video, Is there any way to compute AUC through any formula?

[@deepikababani5586]

Good explaination but how we can plot roc for face recognition multiclass problem ie.for 40 classes

[@bhattbhavesh91]

There are good number of examples available which will guide you as to how you can plot AUC ROC curves for more than 2 classes!

[@coxixx]

i have made a model that is a movie recommendation.it returns 10 results for each search.is it ok evaluate that with your method?

[@AR-ok2qt]

sir ,how did you come up with the threshold values ? is it random ?

[@bhattbhavesh91]

its randomly selected for this example!

[@prakashnarayan6429]

got lost at the very first minute. perhaps the technical terms can be explained

[@AbhishekRaj-jv8ov]

everything was awesome.. just want you to be a lil more audible..

[@bhattbhavesh91]

I wasn't well when I made this video, so the problem in audio!

[@priyankamadhesh2479]

How to see ur previous videos

[@aprianideww1559]

Knp gw ngakak🤣

[@lww8229]

You just repeat what is written in books or other tutorials without explaining why. "classifier was able to pick up sample" what does it mean? . Bad explanation. You seem like you do not understand yourself this.