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

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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.
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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

Опубликовано:

18 авг 2024

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Комментарии : 109

@PrathyushHebbar Год назад

Bro, if you ever feel or get a doubt in your life that you are not good teacher then, I would like to say that look yourself through my eyes and you will come to know what mark you left on my mind about this subject. Hats off, and I appreciate your work. Literally, I would have paid your fees but a "like" and taking "subscription" of your channel is all that I can do for you. I will definitely share this content to my friends. 🤘🤘

@sameergupta1401 Год назад

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

@sanjaisrao484 10 месяцев назад

Yes

@nikunjdeeep Месяц назад

i am halfway in this beautiful journey of learning ML...and thank god i am here in this playlist...because i am sure there can't be a better playist ....

@mylofiworld9979 Месяц назад

I also

@holagvk 2 года назад

This lecture is a goldmine! 🙏

@shivoham5939 Год назад

diamond mine 😅😅

@ADESHKUMAR-yz2el Год назад

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

@raghavagrawal6263 3 года назад

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

@SanjeetKumar-yf7vr Год назад

Generally I can"t comment on videos. But your machine learning list is really helpful for me. Great And mind blowing session.

@AmitMishra-xd7yo Год назад

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

@sauravthakur2915 3 года назад

You are really a blessing for us. Your explanation is way better than any of the other youtube channels. Thank you so much for the detailed explanation of these videos.

@nanditasrivatsan4569 Год назад

Your explanation was concise and really helpful for understanding the concepts. I don't usually comment but I highly appreciate your videos! Subscribed and liked.

@HealingQuotes28 Год назад

Honestly i will say , best ever explanation... Matlab Aisa itna acha RU-vid pe expalin hi Kiya nai kisine ... Thank you so much.🙏

@NishaKanojia-b8x Месяц назад

Super duper hit teacher in this whole world.... I Appreciate your work .........

@angelabiswas930 6 месяцев назад

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

@balrajprajesh6473 2 года назад

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

@hitinyadav3321 2 года назад

Awesome video sir, I have become fan of you, the way you teach is incredible. Thank you for putting such a valuable content.

@saliq7 10 месяцев назад

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

@rajpoot_011 28 дней назад

Amazing explaination

@bharatbatra979 2 года назад

One of the best video series on RU-vid for Machine learning

@sneharj2036 Год назад

Awsome explaination. This channel has great videos . Thanku so much sir.

@iam_nerd95 9 месяцев назад

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

@gaurabparajuli3643 2 месяца назад

Best Explanation.

@siddhipandare3882 Год назад

These explanations are better than books!

@pavangoyalvit 2 года назад

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

@zakircurrentaffairs858 9 месяцев назад

you are the life saver. thank you so much for in detail explanation.

@ParthivShah 5 месяцев назад

Thank You Sir.

@zohaibali1689 Месяц назад

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 ❤

@SanjeetKumar-yf7vr Год назад

Please Continue deep learning. Thanks a lot

@akshaykhiladi2010 3 года назад

wow what an explaination, loved it. Thank you

@quamar0313 2 года назад

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

@JACKSPARROW-ch7jl Год назад

Awesome explaination bro🎉

@saketmotekar5570 7 месяцев назад

Very clearly explained thank you sir

@lovefrombengal1078 2 года назад

Very Nice bro , first time got a better explanation. Understood in better way . 🤟

@neetik8993 Год назад

Thank you so much for your efforts. I'll definitely pay you off when I get my first salary. Thank you so much

@Ankit-hs9nb Год назад

maja aa gaya sir! dil se thank you!

@geetajoshi9724 2 года назад

your concept and way of giving knowledge are really good and help fulll to bingers

@muditgupta4563 2 месяца назад

Thanks a lot for these wonderful stuff

@adisahare97 3 месяца назад

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

@YTDSharma Год назад

Very nicely explained, thank you sir

@ATHARVA89 3 года назад

concept clarity is what "campus x" means

@JACKSPARROW-ch7jl Год назад

Thanks best video🎉

@shobhitsadwal756 2 года назад

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

@campusx-official 2 года назад

Thanks

@shubhamthakur8294 6 месяцев назад

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

@satyammishra6363 7 месяцев назад

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

@pankajjagdale2005 Год назад

very nice explanation sir thank you

@vineetkukreti2280 Год назад

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

@k_abhishek2056 2 года назад

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

@Kapa_Kapu Месяц назад

amazing vid

@ktmagar7 Год назад

very nice content, made things clear

@230489shraddha 2 года назад

Brilliant explanation. Thanks a lot

@saptarshisanyal6738 2 года назад

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

@irfanshaikh2619 17 дней назад

He said MSE is "not robust" to outliers

@rajnishjha1681 10 месяцев назад

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

@shashankpandey1966 2 года назад

Thankyou sir , God bless you.

@Ishant875 7 месяцев назад

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

@sudheeshe1384 2 года назад

Best explanation 👌

@KN-tx7sd Год назад

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

@faisalshaikh4271 9 месяцев назад

wah 💯👍

@sandipansarkar9211 2 года назад

finished watching

@Sandesh.Deshmukh 2 года назад

Excellent Explanation ❤🙌

@vrushabhjain1542 2 года назад

Wow! Awesome explaination of r2 score

@mohitkushwaha8974 Год назад

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??

@jandaabdulla9335 3 года назад

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

@tusharshukla9361 Год назад

the best💗💗💗💗💗

@tusharbedse9523 2 года назад

Clear kr diya bhai

@bhushanbowlekar4539 Год назад

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

@manojkuna3962 Год назад

Thank you sir.

@rahulkanrar5247 2 года назад

Thank you so much.

@ankitlakshya450 2 года назад

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

@shadiyapp5552 Год назад

Thank you sir♥️

@nisheshgogia8465 3 месяца назад

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

@123arskas Год назад

Beautiful

@kindaeasy9797 10 месяцев назад

Besttttt

@jitendergupta2240 Год назад

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

@ajaykushwaha-je6mw 2 года назад

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

@kidscreator2268 3 года назад

thank u sir you are great

@nigiledwin4784 2 года назад

Can we improve linear regression algoritham using hyper parameters?

@shobhitsadwal756 2 года назад

nhi bhai , bilkul bhi nhi

@SIMBU_GOLDEN Год назад

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

@avinashbhardwaz5717 6 месяцев назад

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.