TPR,FPR,FNR,TNR, Confusion Matrix

[@vaibhavchhabra6270]

at 3:19, please correct the confusion matrix.The TN should be 1 instead of 0.

[@midhileshmomidi2434]

This is the best video on Confusion matrix explanation

[@saravanakumarmuthumani871]

Nice explanation :) Following your videos regularly. Thanks for the detailed explanation

[@pratikchatterjee5992]

Hi Krish, Nice Video and well explained. Although I would like to point out on the FNR which is FN/P=FN/(FN+TP). Confusion matrix is always confusing. Love your work and I have started following you.

[@someshkb]

Thank you so much for the simplest explanation. Awesome

[@anandh9872]

Thank you so much for the very nice explanation, after all, videos here MY DOUBT GOT CLEARED. Once again thank you, Sir.

[@harshjoshi1067]

Sir your all video lectures are more informative and it relly very helpfull thankyou so much sir🙏🙏🙏🙏

[@adityabhatnagar9478]

Clearly explained the confusion matrix. Thank you

[@RaviRanjan_ssj4]

I think your channel deserves atleast 100k subscribers by now.

[@mahalerahulm]

TPR = TP/(TP+FN), TNR = TN/(FP+TN) FPR = FP/(FP+TN) //correction needed FNR = FN/(TP+FN) // correction needed

[@rahimsarker1839]

Thank you sir for clear explanation.

[@hiteshdamani30]

Amazing Explanation giving by Krish Naik Sir. Before that i had watched a lot of explanations on confustion matrix and still it was confusing to me. After watching this video not it can be forgettable. Thank you soo much sir. For all your efforts...

[@adarshnamdev5834]

You wrote TP FP TN FN inside the Confusion Matrix cells in the case of binary classification. But, how are we going to right such notation in case of multi-class classification ?

[@sukumarroychowdhury4122]

kzbin.info/www/bejne/fnPMXoNrn5V-m8U

[@brownmunde4086]

For multi class too it has been discuss. Krish has taken 5 multi class example

[@raman11961]

FPR is FP/N. Not FP/P

[@RahulGupta-uq3ej]

Hello @Krish, in this lecture you wrote wrong formula for FPR and FNR. FPR = FP / N = FP / (FP + TN); FNR = FN /(FN + TP). But you did correct in your Data Science Interview Question Playlist. Please let me know if I'm right.

[@richasingh8513]

you are right!

[@Diamond_Hanz]

THANK YOU SIR

[@mittalparikh]

Awesome, Your passion is amazing

[@shivamsrivastava416]

Awesome Explanation Sir

[@ehtishamraza2623]

Thanks Sir you are giving us a great learning stuff

[@madankhatri7727]

great tutorial , please keep uploading more on topics like this , thank you so much

[@rajeshs2840]

at 19:25 FPR = 1 , because FPR = FP/(FP+TN) and FPR + TNR =1

[@farhadkhan3893]

Awesome , Got it very clear , thank you

[@theinhumaneme]

Great Video :D Thank you Krish

[@MohammedYousuf-ti2er]

brother u are a legend

[@tahabimuhammad4524]

Nice video, at 2:53 shouldn't we put value 1 instead of 0 when we get 0 for both actual and predicted value y and y-hat?

[@anushreepatil4811]

Yeah, same doubt.

[@omkarjadhav848]

I think that correction is needed.

[@h.m.sibghatullah7699]

very good explanation

[@shivamtiwari2468]

nice explanation sir

[@abhinai2713]

best explanation on confusion matrix

[@sudhabharu123]

Excellent Video. Thank you for making this so easy.

[@ravigadadi6207]

Very nice explanation bro.Subscribed! Keep doing same kind of videos :)

[@smiley1059]

Awesome explanation

[@learnds2210]

Nice explanation Krish, always love your videos. Just one correction, the formula for FPR, FNR is incorrect on the slide. Just check once and update. Thank you

[@vamsireddy5174]

Tell the formula bro.. he didnt give any reply

[@adiflorense1477]

2:54 sir, i thought TN is count 1

[@paikmayu]

your correct

[@louerleseigneur4532]

Thanks Krish

[@tejasarondekar375]

you could use That electronic pad for writing, it would be nice overall learned something important.

[@sujangajananachari2814]

nice video

[@laxmanbisht2638]

Nicely explained

[@ramkrishnagoswami9125]

Great lecture ever

[@harshjoshi1067]

Sir please make video on roc curve🙏🙏

[@aashishraina2831]

u mentioned FNR=FN/(FP+TN) . Is it correct , or we should say FNR=FN/(FN+TP)

[@rostikameshram7465]

Yes it is confusing me too

[@ShivamTiwari-hu6hg]

Hi i think in the confusion matrix the (0,0) should also be 1 right but you have denoted it as 0

[@phanikumar3136]

Krish fpr and fnr are explained in wrong way so plzz crt them many of the subscribers following u so plzzz crt them.... And we love the way u teach us... Tq krish..

[@Said9967]

I think you need to switch FP and FN !

[@joeljoseph26]

no. he is right. check the predicted and actual labels.

[@mutyaluamballa]

i like the explaination, but any intuition behind the rates.

[@tonnysaha7676]

Thank you🙏

[@3663johnny]

Now it looks clear for me

[@anuvratshukla7061]

Awesome

[@anilpathi4870]

sir good explanation, can we categorize fake reviews and genuine reviews using confusion matrix?

[@meghachoudhary3394]

Hello sir, please create video on ROC curves.

[@souravsaha6757]

Krish u explain in an awesome way but Formula for FPR and FNR is wrong ! Formula for FPR is (FP/N) i.e. FPR=FP/(TN+FP) and formula for FNR is (FN/P) i.e. FNR = FN/(TP+FN)

[@Manish-cn3nr]

Hi Krish, I assume all the video is in sequence ..

[@kishorejuniordeveloper4361]

super sir

[@snigdharay9675]

So, If the data set is imbalanced then how to make it balanced? or how can we predict the correct accuracy from this type of data sets?

[@pradeepvn8627]

If 900 results are Correct means it can be True Positive or True Negative. Similarly if 100 results are wrong, it can False Positive or False Negative. Please correct me if my understanding is wrong.

[@someshshrivas3143]

Sir,How we apply confusion matrix on large datasets

[@shashanktripathi3034]

SIR FOR Confusion Matrix of multi-class are there any concepts of TP, FP, TN, FN.

[@pradheepm1371]

How to reduce the false positive and false negative to make our model better one

[@quangnguyen-tm6nu]

hi your link is invalid. how may i find a one? thanks

[@mannankohli]

hi there, i m working with election predictions. i have developed the model using 2018 election data-set and test it on 2013 and 2008 election data-set. now my question is that how to get the mean of all confusion matrix for three elections in one single model.

[@somnathbanerjee8672]

Wrong formula. How confidently he is teaching wrong formula!

[@akashgayakwad9550]

At 2:54 ,in forth block u wrote 0 but I think it might be 1... Am I right or wrong please reply?

[@ankurkaiser]

Should have been 1. He missed it, anyways even this scenario can be accepted.

[@akashpoudel571]

sir false positive n false negative is it correct???

[@OceanActions]

How does 0,0 become 0 not 1

[@rahulnarhare8660]

FPR=FP/(FP+TN) FNR=FN/(FN+TP)

[@georgedonga9208]

19:50 tpr calculation was wrong

[@krishnaik06]

Hey George, Yes just made a small mistake.Sorry for that.

[@ashwinimandani2829]

@@krishnaik06 what should be the correct value?

[@pulaknath1962]

change your thumbnail . thumbnail showing multiclass and you r discussing 2x2

[@oussamajmaa9205]

great tutorial , please keep uploading more on topics like this , thank you so much