Regression Metrics | MSE, MAE & RMSE | R2 Score & Adjusted R2 Score

Understand key metrics for evaluating regression models in this video. We cover Mean Squared Error (MSE), Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), R2 Score, and Adjusted R2 Score. Learn how these metrics help assess the accuracy and performance of your regression models.
Code Used: github.com/campusx-official/1...
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⌚Time Stamps⌚
00:00 - Intro
01:32 - MAE(Mean Absolute Error)
07:41 - MSE(Mean squared Error)
12:29 - RSME(Root Mean Squared Error)
15:52 - R2 SCORE
27:06 - Adjusted R2 SCORE
33:41 - Code for the above Matrix

[@PrathyushHebbar]

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[@sameergupta1401]

This series is one of the best series on internet for Machine Learning

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Yes

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I also

[@sauravthakur2915]

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[@AmitMishra-xd7yo]

literally mind-blowing session, no body could explain these convoluted topics like this... hats off.

[@angelabiswas930]

I just started with Machine Learning and you really help a lot in understanding concepts. Thank you

[@HealingQuotes28]

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[@holagvk]

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[@shivoham5939]

diamond mine 😅😅

[@bharatbatra979]

One of the best video series on KZbin for Machine learning

[@balrajprajesh6473]

probably the best video out there on this topic. Best Teacher Ever!

[@pavangoyalvit]

Best video on R2 and Adjusted R2..keep up the great work sir.

[@raghavagrawal6263]

Thank you, sir. I will try to convert all this explanation is a blog.

[@hitinyadav3321]

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[@SanjeetKumar-yf7vr]

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wow what an explaination, loved it. Thank you

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Amazing explaination

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[@iam_nerd95]

Hi Nitish. I must say your lectires are great man. I mean I cant really express the complete gratitude that I'm feeling at the core of my heart towards you. Especially when I see these all things in the essence of desi hindi. Great man. God bless you. One request..if you could add the Variance Inflation factor(VIF) as well into it. Though thats not very different from R2 Score but that has quite good application in Quant Finance relatrd data science

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Thanks a lot for these wonderful stuff

[@ADESHKUMAR-yz2el]

you, krish naik and statquest's josh starmer are the only teachers we need in life.

[@Ankit-hs9nb]

maja aa gaya sir! dil se thank you!

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Best Explanation.

[@zakircurrentaffairs858]

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[@lovefrombengal1078]

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[@230489shraddha]

Brilliant explanation. Thanks a lot

[@quamar0313]

What a great explanation sir Thank you so much I am beginner in data science and i was stucked in one problem where i got r2 score as .99 but my submission getting so much error This helped me out from that scenario

[@SanjeetKumar-yf7vr]

Please Continue deep learning. Thanks a lot

[@YTDSharma]

Very nicely explained, thank you sir

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[@saketmotekar5570]

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[@JACKSPARROW-ch7jl]

Awesome explaination bro🎉

[@ParthivShah]

Thank You Sir.

[@ktmagar7]

very nice content, made things clear

[@Sandesh.Deshmukh]

Excellent Explanation ❤🙌

[@pankajjagdale2005]

very nice explanation sir thank you

[@sudheeshe1384]

Best explanation 👌

[@Kapa_Kapu]

amazing vid

[@shashankpandey1966]

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[@neetik8993]

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[@tusharbedse9523]

Clear kr diya bhai

[@JACKSPARROW-ch7jl]

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[@zohaibali1689]

We are not going to code MAE, MSE, RMSE, R2 and adj R2 because it is not about programming; it's about Data Science. 34:42 This Sentence ❤

[@saliq7]

hands down better than Andrew NG, i never go for learning on youtube, always took authentic courses but omg this series is just mind blowing

[@satyammishra6363]

great explanation better than even best professors, but please check error in r^2 formulae written

[@manojkuna3962]

Thank you sir.

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Beautiful

[@adisahare97]

timestamp 23:38 was so hilarious that it made me laugh so loud while watching at night 1 am.

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concept clarity is what "campus x" means

[@kidscreator2268]

thank u sir you are great

[@shadiyapp5552]

Thank you sir♥️

[@jinks3669]

Thank you :)

[@vrushabhjain1542]

Wow! Awesome explaination of r2 score

[@KN-tx7sd]

Sir, we now often see in some analysis people showing MAE as 0.20 ± 0.011 as well as R2 as 0.45 ± 0.028, can you kindly explain how these ± values are obtained for MAE and R2 for any analysis can any of the python packages can derive these values. Thank you

[@shubhamthakur8294]

Does the phrases like "penalizing the outliers" and "robust to outliers" are same in meaning or they are different?

[@siddharth4251]

23:39 LOL.....nice explanation sir!!!

[@k_abhishek2056]

I m learning lot of concept from ur videos and enjoying ur video . Appreciate ur work. Dil se dher sara pyar bade bhai

[@sandipansarkar9211]

finished watching

[@vineetkukreti2280]

when r2 score is -ve -> doobh ke maar jao ,very smooth sir, it caught me 🤣🤣🤣 ,Overall lecture was very good👍👍

[@ankitlakshya450]

Is it important to do train test split and then perform feature engineering or you can do feature engineering and then train test split

[@faisalshaikh4271]

wah 💯👍

[@tusharshukla9361]

the best💗💗💗💗💗

[@SIMBU_GOLDEN]

sir can we drop columns of larger dataset based on r2 score or not ?

[@parthshukla1025]

Thanks A Lot Sir

[@campusx-official]

Most welcome

[@bhushanbowlekar4539]

sir R2 score is affected by outliers also , so in such case what we can do?

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Besttttt

[@arvindsinghrawat538]

[@Ishant875]

R2 square is numerically equal to correlation between y and y cap !?

[@mohitkushwaha8974]

42.57-- the adjusted r2 score shld increase na??? As we have added iq column, but why it has decreased??? as compare to r2 score??

[@71_omprakashshaw59]

🔥🔥

[@jitendergupta2240]

Sir, ye sare metrics values ko improve kaise kare, koi lecture hai kya isspar??

[@rajnishjha1681]

What if I have my regression model - Model Performance: Mean Absolute Error (MAE): 0.2903 Mean Squared Error (MSE): 0.1684 R-squared (R2) Score: 0.9764

[@ajaykushwaha-je6mw]

Sir how to test accuracy score for train and test data to know underfit or overfit model, can someone help on this.

[@shobhitsadwal756]

hey man a little correction in 23:30 , the ssm is not y-y^ . It is y-ymean

[@campusx-official]

Thanks

[@jandaabdulla9335]

Doob ke marjav....wah sir kya dialogue hai..😂😂😂😂

[@nigiledwin4784]

Can we improve linear regression algoritham using hyper parameters?

[@shobhitsadwal756]

nhi bhai , bilkul bhi nhi

[@nisheshgogia8465]

r2 negative aarha hai, doobke mrjao😆😆. loved it

[@JaiJain]

Legend spotted

[@avinashbhardwaz5717]

Sir , to according to you mujhe dub ke marna hi padega. Since my r2 score is -ve for linear regression model. But I achieves good r2 score for xgboost. For same dataset.

[@saptarshisanyal6738]

You said MSE is "robust" to outlier, I think it should be "sensitive" to outliers.

[@irfanshaikh2619]

He said MSE is "not robust" to outliers

[@waheedweins]

❤

[@emondas31]

Can I use MAE for the binary data???

[@hammadalamsiddique3730]

No

[@siyays1868]

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[@ranjithkumarkarthic8696]

Pls make videos in English

[@backupawii3296]

doob ke mar jao hahahahaha sir kash me apko hug kr pata ... you are best teacher in the world...

[@iaamshayan]

Isn't R2score = 1 - ssR/ssT ?

[@sounakroy1933]

Depends on what you mean by SSR. Sum of Squares Regression or Residuals?

[@waqarjoiya-yd2sx]

love for Pakistan

[@ayushjalan5964]

Sir mera R2 score itna negative aaya ki dataset khud bola ki bhai tu rehne de 😭😭😭😭😭😭😭😭

[@tejaskamble8731]

6:41 😂😂

[@Uda_dunga]

23:40 :D

[@pankajbhatt8315]

23:39 best part ; doob ke Marjao hahaha

[@shivoham5939]

🏊‍♂🏊‍♂ swimming nahi aata hain

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what was that "Doob k mar jao 😆😆😆😆😆".

[@core4032]

@

[@meyankgarg2686]

dum ke mar jao😂😂😂😂