Tutorial 41-Performance Metrics(ROC,AUC Curve) For Classification Problem In Machine Learning Part 2

[@LIMLIMLIM111]

This channel is a gold mine. Thank you for your knowledge Krish.

[@arjyabasu1311]

Indeed

[@priyankrajsharma]

Agree

[@suhaillone831]

This guy is definitely one of the best teacher available on KZbin Simple but effective explaination Lots of love for you Sir ♥️♥️♥️♥️♥️♥️♥️♥️♥️♥️♥️♥️♥️♥️♥️♥️♥️♥️♥️♥️♥️♥️♥️♥️♥️♥️♥️

[@hassamdaudi]

I swear to God man, I learn more from you than my professors at school... you're saving my assignments

[@DappuDon]

In which school we are teaching ML?

[@KiranKumar-bb8lr]

really ur communication ur voice and the way u explain it stole my heart broooookeep rocking broooo

[@skviknesh]

The explanation is great! Why is it used? 1. ROC & AUC - Plotted between TPR & FPR, helps in - visualization & explanation & selection of a required threshold for the model! What is ROC & AUC? 2. ROC - (Receiver Operating Characteristic curve) that you have drawn & AUC is the - (Area under the curve). How does the curve look like? 3. AUC should be greater than the 0.5 line drawn, which indicates a better model. 🙇‍♂️🙇‍♂️🙇‍♂️

[@borhanmukto7770]

Bro, You are a gem. I mean not a single unnecessary word, everything is explained clearly and concisely. Many many thanks brother

[@mandeepsinghnegi1931]

Sometimes, I check this, that and then just search if you have made a video on the topic. No one can just simply explain better. You are an AVENGER.

[@smiling_madly596]

you're a true supervisor for supervised learning! 🌷

[@firasfakih3050]

I just hit the jackpot with this channel, thanks alot

[@sharinaathikkal]

Me too

[@athanikarammy7476]

great explanation video..anyone confused or overwhelmed about how much to study and from which channel to study...simply follow krish naik playlist from start to end.....

[@sandipansarkar9211]

Thanks krish.My doubts about ROC ad AUC are now clear.

[@chaytanyakumar8939]

Best explanation on the internet. Thanks Krish!

[@ayushijonwal9209]

Very clear and crisp explanation, great job👏

[@agenthitman7564]

Finally I have understand ROC....Thank YOu Sir

[@guillermotorres4988]

After reading about roc and auc, your example calculating manually the values was perfect to finally understand this topic. Thank you!

[@mohammadarif8057]

Sir people like you should be admired ...big fan hope we meet one day

[@hilaav7449]

Hi I couldn't find anywhere part 3 - performance metrics for classification problem part 3 ( you said in the first one there are 3 parts I only found 2).By the eay, I became a memeber more than half a year ago to support your work, because you are an excelent lecturer and you helped me a lot.

[@teamannonymous163]

totally clear .. you way of explanations are really very amazing.

[@adiflorense1477]

8:20 here I finally understand how to read the ROC curve. You really are great

[@lumar_music]

Please consider using manual focus and iso :D

[@yashodhansatellite1]

Hats off Krish..u r so deep in knowledge

[@xyzaex]

Brilliant. You are officially Sensei.

[@230489shraddha]

Krish you explain data science concepts so clearly that I have become fan of your's !!! thanks a ton man!!!

[@souvikmaitra6653]

awsum explaination...ALL THE BEST for all your upcoming videos #Krish.

[@MrYoonyan]

The best explanation ever seen, thank you

[@agnelraju718]

superb explanation loved each bit😍😍

[@syedyunus4204]

Krish, please make a video on "implementing all the Metrics For Classification Problem in ML by taking improper data set" as you mentioned in one of the videos of ML playlist (#1:05 minute of Tutorial 34 of Complete ML playlist)

[@saikatkar547]

Very nicely presented ...clearly understood . Thank you sir

[@abhishekranjan2617]

Awesome video sir. I love it😍😍🥰🥰😘😊😊🙏🙏🙏🙏🙏👌👌👌👌

[@ayberkctis]

Hey Krish, you are amazing! You explain topics clearly. So, everybody can understand it!

[@rishigupta2342]

Brilliant explanation. Please make part 3 of this video.

[@narenderbansal5741]

Very nicely explained. Thanks for sharing.

[@kranthikumar7635]

really awesome explanation....

[@mr.top5636]

Your explanation is just amazing go ahead man

[@avinashmandora8745]

What an informative video. Really amazing!

[@fortask5897]

Lovely Explanation.

[@ianmutuma6564]

Thanks Krish. This saved me a couple of hours

[@lavanyathippineni6341]

Superb explanation👌👏👏👏....Waiting for part-3. Please upload it as possible as sir

[@chandrusaekarb3445]

Nice Video and clear explanation. Thanks a ton ! .. Please do post part-3 of the metrics soon....

[@chubiandchuba4804]

Hi Krish you are really superb... Excellent knowledge, well explained

[@tengliyuan1988]

Krish I really appreciate your effort in sharing your knowledge. Thanks

[@jagadeeshabburi570]

Maza agaya bhai dekeke. Subscribed. The thing what I felt lacking was. More explainanation

[@happytorev466]

Thank you for this video. Eagerly waiting for part 3.

[@ozcanf6680]

Great video, thank you Krish

[@kaustubhshete6250]

Awesome Work Sir !!

[@sumitnaina]

You explained it so nicely and make me understand the roc and auc concept so easily. Thanks a lot krish

[@dordonduty2918]

very short and srisp, i love it

[@sahithim9278]

for the threshold value of y^=0.4 and y^=0.6 , tpr and fpr values is same i.e.,(0.5,0.5) and for y^=0.8 is (0,0.5). Now the graph will be different and AUC might be less than 0.5.

[@hussainlokhandwala2245]

Yes!

[@santanusarangi]

How to reset the threshold value?

[@sonalighadage6253]

very nice explanation

[@adiflorense1477]

0:52 how to determine the threshold. can we set the threshold ourselves?

[@myGiG-09]

Awesome lecture

[@fancy4926]

Krish, at the end of this video, you said: "if they focus on both TPR and FPR, we can also choose TH(0.4) at that plot". But in real ROC there are always a lot of inflection points like TH(0.4), then which inflection point should we choose?

[@sampsonagudze8674]

Fantastic!

[@amoldeshmukh8244]

Hey Krish , Did you uploaded Part-3 of this video (i.e. Performance Metrics for Classification problem) ?

[@hemantdas9546]

Super Sir. Very clear

[@hemrajbhatt1034]

Thanks a lot sir. I was seriously waiting since your last video on performance metrics.

[@pshubhamoy21]

nicely explained

[@adityagandhamal2351]

Thank you sir....It was very helpful.

[@louerleseigneur4532]

Thanks Krish

[@tuannguyen4802]

Amazing explanation

[@Amd107]

One construtive feedback: please lock your phone's focus so that it doesn't go haywire like at 1:47

[@krishnab6444]

perfectly explained

[@sanketannadate4407]

it really helped thnx

[@abhishek-shrm]

Great video Sir.

[@anujlahoty8022]

Awesome video.

[@chitrashivraj8403]

You are awesome krish. It takes so much effort to reach here. Brilliant :D

[@binnypatel7061]

Keep up the good work.....Great explanation!

[@pranjan85]

Hi Krish, Can you please upload Part-3 so that everything can be understood

[@ankita684]

Hi...can you share the link for part 3 of the performance metric video. Also, can you share any real life example when domain expertise would want threshold to be say 0, 0.6.?

[@sibamarcel9428]

You have great knowleg...Thanks a lot

[@shaunakchadha4204]

Krish sir...... Hrithik Roshan ke bajaae aapko le rahe hain agli Krish Movie mein ??? Hero ho aap sir

[@laxmimansukhani1825]

awesome !!

[@mohsin10185]

Excellent

[@godse54]

krish please make part 3 and also list some performance matrix for multiclass classification.

[@megalaramu]

Hi Krish, Awesome explanation. Thanks a ton. Could you please help us by giving an example (Part-3) for all the performance metric in python.

[@kanakkumar5261]

Hi Krish, awesome teaching skills... please upload all parameters in python programming language take an example like iris data

[@shaz-z506]

Good video Krish, could you please create a video on Cohen-Kappa score.

[@kaisersayed9974]

Sir please make videos on web scrapping for beginners.. please sir and I am anabel to get the link of AQI website which you have shown in the video ....but please make more videos on web scrapping..

[@mounicak5923]

Great videos

[@subhasrik1436]

sir excellent ,plz explain eer from det curve

[@narenderbansal5741]

Hi Krish, Suppose i want to set the threshold at .75. then how i can do this in python code. is there any parameter in ruc_curve method or have to do it by using logic/code.

[@sanskrititiwari4267]

Your channel is very informative. Please bring part 3 as soon as possible :)

[@asawanted]

So comparing the Andrew Ng video, the true positive rate is same as recall? and the false positive rate is same as precision?

[@tannurohela6192]

Great explanation but I didn't get how to take the threshold values , this is , the values we have taken to predict and draw ROC. Can we select them randomly or is there a way?

[@ravinch7973]

Explain about epoch and its graphs with accuracy, Precision, Recall, f1Score. Also show in python or matlib how to draw

[@avisii8928]

hello sir, i am working on my final year project, Resume classification and ranking system using knn and cosine similarity, the roc auc curve for all my class label came 0.5, what should i do?

[@nirojghimire1706]

Very nicely explain, need to improve video quality.

[@iamramanr4s]

In the case of binary classifier that outputs 0 and 1 labels how can we calculate auc score and roc curve

[@sohinimitra7559]

Hi Krish, your videos are very informative and helpful. I saw your video where you explained ROC-AUC based on thresholds in Logistic Regression. What is the intuition about thresholds for other classification models? For example, a decision tree will split based on feature value to determine the class, how is ROC constructed here? Similarly, for other classification algorithms, how is ROC constructed?

[@tomasvonbischoffshau]

Thanks! really.

[@neelroy4153]

Hi Krish, how did you come up with original y hat?

[@rajeshjha9246]

sir, please give one walk though session on classification problem with all Performance Metrics(ROC,AUC Curve,precsion,recall etc.)

[@dheerajkumark2268]

Sir can you plz make videos on statsmodal and scipy library

[@akashs9414]

Actually, many will sort those probabilities in descending order and use them as thresholds.

[@gangeshwarinetam413]

what is the meaning of threshold value

[@avinashreddy5779]

thanks for your knowledge Krish sir, I am new to date science ROC used to evaluate the logistic regression only or do we have any uses can anyone help with this

[@HITD47]

Thank you sir

[@sushilchauhan2586]

CAN YOU PLS EXPLAIN MULTICOLINEARITY AND HOW TO AVOID IT ? PLS or PERTUBATION TEST

[@itwind9912]

Can we use AUC-ROC for multiclafication problem?

[@hussainlokhandwala2245]

Values of Th(0.4)==th(0.6) and for th(0.8) we have values (0,0.5) so also the curve is changing.... Please correct me if I'm wrong :)

[@stacksmack]

I also got the same value. you are right

[@Su.arya31]

Hello sir , just a doubt need your help , I have a sample value, a control value and also a AUC value … I just want to plot 2*2 confusion matrix table… can you please help me