The ROC Curve : Data Science Concepts

Your explanations are absolutely the best.

Fantastic explanation!

Thank you SO much for explaining this very confusing concept in such clear terms!

best explanation i have seen so far, Ty

what do you mean by "Churn "

THANK YOU SO MUCH. IT'S VERY WELL EXPLAINED.

You explanations are so cool!!

Give this man a subscribe!!!

So helpful! I'm in grad school studying eyewitness testimony and your video helped so much!

Superb Explanation. Thank you so much Ritvik

where is the code? show the code!

this helped me SO MUCH. Thank you!

Instantly subscribed! Great video, thank you so much.

as always, you are very clear and explain everything. i always recommend your videos. thank you!

Excellent Sir .Hats off to you 💗❤️❤️

Thanks

Hi Ritvik, a quick question why dont we set our probability threshold as 0.5 in case of binary classification lets say.

💐😍

Great explanation

Excellent teaching! I love to understand how things work and you does a good job on it.

this was a very well explained video. thanks so much. this concept is not usually taught that well to be honest so you cleared up a lot of confusion that I Had.

Masterful lecture, thank you!

awesome

one of the best channels ever. very informative straight to the point and takes my understanding to a whole new level. I cant thank you enough

Excellent video!

'This is the best ROC explainer video that I have found to date...And, I have watched a lot! Thanks so much. Very clear presentation of key concepts illustrated with a realistic example. The pre-prepared hand drawn whiteboard illustrations were brilliant and easy to understand as your went through the video. I think I might use that technique in my own teaching vs drawing as I go. So much more efficient.

Your channel is the best, thank you.
I got stuck in my learning, but then found answers here (a few times already). Think I will just come here directly next times. 😄

👏👏👏

Hi Ritvik. Thank you for the great content and really loved your explanation on ROC curve-v helpful. Quick question-so why do we use Precision Recall instead of ROC curve. Do you have video on the same?. I read Precision Recall curve is used more in imbalanced dataset scenario-any inputs here? Thank you:)

Does it assume that a user of our modern will adjust this threshold according to his business scenarios at different time?

I'd be a sinner if I would just walk away after watching such an amazing video! I'd want this video to be shown first on YT when someone searches for 'ROC curve'. Thanks a lot for this, mate!

Your channel is outright amazing!! Discovered your channel recently, you explain things in such a short, simple and intuitive manner

Awesome explanation. Thank you very much

Man, this is literally amazing!
Thanks a looooooooooooot!

Excellent explanation!

EXCELLENT VIDEO!! CLEARED MY CONCEPTS BEST.

Thank you

The connection to the business scenario really helps to understand the purpose and movements of the ROC... Thank you for your excellent explanation.

Love it! The only thing I'd add is clarify the underlying basic assumption that the predictions of the model are spread across this 0-1 probability space with a lot of mass on either ends and decreasing mass as you go to the center but more mixing.

definitely the best !!!

Millions of thanks!

Excellent explanation

This is hands down THE BEST explanation of RoC construction, dynamic and interpretation I have ever viewed.

CANT THANK U MORE 🥰

u salyed it man

Quite easy to understand video
Thanks so much @ritvikmath

This is gold, you deserve way more subscribers! Thank you for using a business case, it makes it easier to understand.