Precision, Recall and F1-Score

[@AkshayKumar-xh2ob]

First I read it in the book, and I am lost remembering these concepts. Then Mr. Naik comes in and explains it in such a way that I always remember it.

[@AkshayKumar-xh2ob]

@Byron Grey Mfing scamsters

[@nhprml6324]

there is a small typo in recall formula 1) Precision = TP/(TP+FP) 2) Recall = TP/(TP+FN)

[@URKCSBrightonS]

This is the appropriate video for my search youtube stop suggesting inappropriate results

[@neha8789]

Thanks for this lecture.... tomorrow my seminar it is very useful.... thank you sir...

[@rohitborra2507]

you have exams in corona time ??

[@neha8789]

@@rohitborra2507 online classes...no exams

[@rohitborra2507]

@@neha8789 sorry My mistake . Didn't read the comment properly .

[@neha8789]

@@rohitborra2507 it's okay

[@fatriantobong]

i like how you say 'total' so satisfying

[@theinhumaneme]

wonderful explanation Krish 😄 thank you

[@sensei-guide]

Thank you so much brother for explaining these concepts.....😍😍😍😍😍😍😍😍😍😍

[@anooptomar3342]

in video 5 , you say about False positive , negatives explained in the previous video. which video are you referring here?

[@priyankanagpal2207]

Nicely explained

[@louerleseigneur4532]

Thanks Krish

[@dikshagupta3276]

Very nice explanation thanku

[@bibhutiswain175]

Nice funda of machine learning. loved it.

[@kamal6762]

You explained about F1- score it should be near 100% for 0 and 1 or only for 1?

[@sabinadhikari2643]

is Recall TPR or TNR?

[@ssshanmugam4514]

Could you upload data science projects

[@manassrivastava6452]

Please reorder your playlist.

[@ajitkumaryadav8298]

Wow sir, u are great!

[@bharatprajapati8193]

Thank you for sharing your valuable knowledge...

[@allieubisse470]

Best explained.... appreciated

[@omkarmanjrekar6645]

Hey! Nice explanation. It might be a good idea to add a brief explanation for k classes.

[@shyam15287]

thank you bro one feed back bro if precisoin and recall with sample values the calculation will be more real time understanding on the whole its superb explanation

[@abhishek_sengupta]

Sir, please make a video on ROC curve and its use in deciding threshold for binary class classification problems.

[@shadiyapp5552]

Thank you sir ♥️

[@anaghaparadkar0511]

Thank you so much for the explanation sir.

[@tosinaina2104]

You really helped me understand this.

[@manojharshavardhan2385]

Sir so that means specificity is recall for class 0

[@yogenderkushwaha5523]

Hey krish, I am facing trouble with the statistical videos in your channel, actually I am unable to identify the correct order of the videos even in the playlist ., can you please help me out., or suggest any other material from where I can cover that statistical part. Thank you.

[@kunaljha6204]

Nicely explained sir...could you make a video on ROC & AUC?

[@ankitsaha3043]

Please make a video about Entropy and Information Gain in terms of Data science 😊

[@himansu1182]

confusion matrix video not found in this tutorial list,please help me ..

[@krishnaik06]

Check the data science interview paylist

[@mkranthikmr]

This playlist is not complete... Many topics are missing... U r saying that u discussed in previous video... But the previous video is not that. For example video 5 (Precision, Recall and F1-Score) . Can you add those videos also to this playlist....??

[@Raja-tt4ll]

Nice Video

[@siddarthvenkateswaran7846]

Amazing

[@mittalparikh]

very nice

[@snigdharay8847]

recall formula is tp/tp+n but you told something else??

[@dreamscapeai7]

he has told it is tp/tp+fn, rewatch video from here 4:18

[@dineshkathania2228]

Hey, I appreciated ur work which is brilliant but i think this playlist isn't in queue. Can look into this. Thanks

[@hiteshdamani30]

Nice Explanation sir. Could you please make a video on AUC and ROC

[@KuldeepSingh-cm3oe]

good

[@rajeshreddy3133]

It Doesn't always mean that if f1 score is 1 the model is good.. It depends on the requirements...

[@SaurabhSingh-wq5hd]

SIR type 1 error should be FP

[@jeromeeusebius]

You recall equations are not correct, but I believe you have been told or know that already by this time.

[@ajaykuril3758]

Recall formula is wrong people referring it plz tc

[@ndxs]

Got it👍

[@835_suhanisrivastava6]

retrieval hota hai ritval nahi

[@parthdhir5622]

You have created a wrong confusion metrics

[@nihalvallath7302]

❤❤

[@SaurabhSingh-wq5hd]

SIR type 1 error should be FP