Tutorial 34- Performance Metrics For Classification Problem In Machine Learning- Part1

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[@Kickass3131]

I have almost completed my masters in data science and they only mentioned F1-Score, never F-beta score. You are a very good teacher!!!

[@saikirangolla2054]

Because they follow old syllabus

[@ebujak1]

F1 -score where Bets=1 is for equal weighting of precision and recall. Beta will change depending if your problem should favor precision (or recall).

[@shyamkale7230]

Because this is Krish that is Oldish

[@rpratiksha6547]

Where did you pursue your masters?

[@ritikgupta6825]

this field is so vast that one institute cant tech each and everything, you have to continously gain knowledge from wherever you find

[@vaibhavvaibhav6118]

I don't know how to put in words but a big big THANK YOU Krish for making such amazing videos. These are the kind of explanations that I have been searching over for months.

[@munishasharma5265]

Fantastic explanation. The best thing about this video is you explained where is real (IT) world we can use, which matrix to use when. probably one of your masterpieces.

[@vipindube5439]

Thanks for your consistency with your learning and teaching.

[@swarnimapandey7297]

thanks a lot, man!! I really needed this as hell in my one of the ml projects.. and here u uploaded this video..

[@zulfiqarali-zq1rg]

Hello sir!I cannot imagine how you are helping me at this time of my final defense.God bless you sir .salute you sir thx from the neighbor.

[@naveendubey2815]

This is the best explanation of Metrices i have ever gone through...Fantastic Job!!

[@preetsandhu2844]

I was confused after my lecture in college, just knew names of method but now got to know when to apply what. Thank you Krish, you are Awesome Teacher

[@raneshmitra8156]

This is one of your master class video as of now....Thanks Kris...

[@Santhosh_39]

Amazing explanation Krish. Definitely I will watch this video again, before when I'm attending interviews. So many things will be clarified in 20 min. of explanation.

[@aravindetagi4008]

Krish always explains and makes concept simpler and make us remember for eternity

[@shreyasrajendrachim5282]

Thank you Krish Sir,for explaining precision and recall so effectively, previously it was very confusing.

[@aish_waryaaa]

He is saving me in my masters and clearing my concepts.Thank You sooo muchhh Sir.GOD Bless You:)

[@milindkulkarni4335]

This is the best channel i came across so far.

[@UmairMehmood]

Best explanation. In the university, I just learned the formulas but never understood them. Very clear explanation!

[@AbdullaNabeel]

he is a hero, not the hero we deserved but the hero we needed

[@user-oh6yd4cn4i]

I only started learning AI / ML few weeks back and this explanation was brilliant and you made it so easy to understand the concept.

[@mohammadarif8057]

Sir bhagwaan apko sari khusiya de...splendid job for sharing such valuable concepts

[@bassantgamal8873]

Thank you a lot, this is really very simple and clear. This is the best explanation I have ever seen, you are amazing.

[@BrianIvanCusuanto]

this is nugget! Krish explained so well like crystal clear. thanks!

[@kamalmalik9529]

Great Sir, I was badly in search to clear all my concepts, I really learned a lot. Thanks Sir

[@hiteshdamani30]

Most Awaited video!!! Thank you soo much sir..... 👍👍👍

[@gustavoramalho9454]

You're an amazing teacher! Thanks for this video

[@sweetyporwal8769]

Wonderful explanation very sorted & clear , I never got clear understanding on performance matrix before this. Great job i must say..!!

[@architnarang3232]

Brilliant comprehensive playlist 👍🏻👍🏻

[@NM-vw6xq]

Great explanation Krish! Thank you!

[@himanshubhusanrath212]

Loved the explanation. Thank you for sharing this info with such simple explanations

[@kshitijbiyani3777]

kudos to you. Very well explained.

[@abhiksarkar3611]

Literally the best explanation

[@akshaysharma224]

Wonderful explanation. Loved your teaching style. Thanks for this amazing content !

[@Nancivlog]

best video on youtube.. Thank you

[@bhavyav3859]

Thank you sir..for the efforts you have taken to explain!!

[@ayselceferzade8587]

Absolutely understandable! Thanks a lot!

[@ijeffking]

Excellent explanation. Thank you

[@faustopf-.]

Incredible explanation, I just started my evaluation phase in my churn prediction model and this will be really helpful, thank you!

[@shakib.polock]

this is one brilliant video! thank you very much.

[@r7918]

Most excellent video I have ever watched on this topic. Thanks a lot krish, it helped me a lot!!!

[@shaneebkottakkal3491]

Amazing,Very Intresting

[@sreelakshmi4230]

Thank you Krish for Wonderful explanation

[@titaniumstrong956]

Best explanation..Hats off Krish

[@bharathjc4700]

Thank a ton for your valuable inputs

[@ashwinibalaji350]

Amazing explanation. Thank you so much :) You are always the best!

[@aminurrahmanashik2786]

A great video. Thanks a lot.

[@_proton5]

Excellent video Krish. Kudos!

[@sumitnaina]

Thanks buddy. Now I have full clarity about recall, precision and f beta.

[@lalitalone706]

I really enjoy your lecture, Krish. Thanks a lot for putting this video.

[@raghuiyer6848]

too good kris. very useful and informative video

[@user-gq2eq4gw2k]

At first I was really confused with where things were going because, a lot of it works well for me if examples are shared to explain the scenario (which were later included - Spam and Cancerous/Non-Cancerous). I have been referring to a lot of notes from many sources and none of them could give me the kind of clarity this video gave me on what metrics to focus on and when. Thanks a ton for sharing this.

[@rinikhanna7510]

Very helpful video. Thanks Krish :)

[@fysys_56]

Thank you so much for teaching this good. I really understood the topics . You are a great teacher. 💖💖

[@sunilkumarganapathy3758]

Superb Kris.. Egarly waiting for next part

[@venud1800]

Excellent Summary Krish 👍

[@rupareddy9243]

Thanks a lot krish, waiting for part-2&3 videos.

[@surbhisoni5614]

thanks Sir for so much efforts to teach so as to make our concepts clear

[@sohamajgaonkar3119]

mind bogling awesome

[@bishwajeet_b_das]

Superb explaination.. sir

[@MsGamerguru]

Very well explained, thank you

[@piyushhibare]

Actually All these topics are very tough to understand but krish explained it very well.. Thanks a lot Krish

[@apoorvaka4247]

Excellent with clear explanation 👌👏

[@ektamanvar4397]

oh my god no words to comment explained very well thanks a lot........

[@sahilsrivastava9895]

Very informative video. Thanks for this.

[@milenafassea5822]

Krish you are amazing!!!!

[@nkorochinaechetam2516]

thanks for your explanation, I took notes !

[@amitmodi7882]

Wonderful Explanation.

[@lalitchaudhari7470]

very very nice video sir, Great Explanation..thanks a lot

[@manojtaleka954]

Thank you Krish for this nice video

[@sohamajgaonkar3119]

you are a savior bcz.... out college faculties are hopelesss..

[@samutsari5956]

Thank you sir for explaining further the concepts

[@keshabdoley1727]

If youtube provides 10000+ subscribe and like buttons , I would have like and subscribed all of them.. THank you very sir for bringing such an amazing content for free.

[@pratheesai14]

Excellent Explanation 👍

[@ishakawade9100]

ANY 10TH STANDARAD STUDENT HERE?THANKS FOR THIS VIDEO I'M JUST BLESSED, THERE IS NO CHANNEL DOING THIS FOR OUR SYLLABUS THANKS A LOT MAN DIDN'T EXPECT SUCH A GREAT TUTORIAL HERE ON YT

[@kathirkathir4689]

Excellent sir.

[@anirbansengupta1107]

This is the best explanation for performance metric selection in classification problems. Thank you Krish!!

[@goelnikhils]

Amazing Content

[@shivadumnawar7741]

great work sir

[@sandipansarkar9211]

Great explanation Krish .But we need to remember the things to apply them.Thanks

[@gauravpardeshi6056]

very good video krish...

[@sulochanasandaruwan763]

Hey, krish. It is a great video; I could learn a lot and clear few aughts I had with performance metrics. Thank you .. ! Good luck...

[@victoremuchay5397]

Thanks you so much, for the great insight!

[@priyasinha2251]

Hats off Krish!

[@michaelmanuel1676]

Thank you sir great tutorial!!

[@nikhilpawar7876]

Great video sir

[@abhishekranjan2617]

superb, awesome and great video sir... you are a great teacher and a person too.. I love your videos sir👌👌👍❤❤❤🙏🙏🙏🙏🙏🙏🙏🙏😊😊😘😘😍😍🥰

[@mmm-me4kk]

Thank you Krish!!!

[@AbcAbc-kx3xm]

Awesome, thanks Krish

[@swapnildeshpande21]

Quality Teaching..

[@ankitac4994]

Well explained.👏

[@jeffvarghese7657]

Great Krish.👍

[@vibesnovibes6320]

You my friend are godsend 👍

[@NourHmuser]

it was an amazing explanation

[@vimalshrivastava6586]

Excellent Explaination👍

[@alphonseinbaraj7602]

Eager to know about part 2 and 3 also.

[@srinivasrathod6994]

Thanks Krish!

[@vidyasagar7860]

Good classification sir about performance metrics for novice learner

[@MrOmaralamri]

OMG that was sooooo helpful

[@skywalker0803r]

I finished watching the entire playlist Thank you a lot

[@drishtisharma6843]

superb! many congratulations!

[@abhinavkale4632]

@@drishtisharma6843 where is the part 2?

[@viralgo4195]

@@abhinavkale4632 check out the complete machine learning playlist. Watch video 41 for next part.

[@amitbudhiraja7498]

What is the playlist name?

[@arvinds7182]

Perfect video

[@anaghakatthe4162]

Sir, I am a graduate research student and currently working on my thesis. This video was very helpful. I wanted to learn about ROC,AUC and kappa. I have to defend in 2 months. When could we expect part2 and part3 video, Sir? Could you please let me know.

[@aasimniazi1007]

Good job

[@louerleseigneur4532]

Thanks Krish