Adjusted R squared explained | Adjusted R squared explained with Python example

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Adjusted R squared explained | Adjusted R squared explained with Python example
#AdjustedRSquared #UnfoldDataScience

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About this video:
In this video, I explain about Adjusted R squared with a python example and mathematics behind it. Below topics are discussed in this video:
1. Adjusted R squared explained
2. Adjusted R squared explained with Python example
3. Adjusted R squared demo
4. R squared vs Adjusted R squared
5. Adjusted R squared example
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clear explaination sir, thankyou so much

AishwaryaDataAnalyst
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Clear explanation of Adjusted R squared 👏

dr.walidsoula
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Best and easiest explanation on the internet

mukutsharma
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i watch your video today andi got amazed by your skills how you explain simply thankA lot

nitinchauhan
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Awesome explanation, hence comes the concept of parsimonious model, - obtaining higher accuracy with fewer no of predictors..

souravbiswas
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Kya padhate h bhai aap
Maza aa gya 👌👌

dilnawazahmed
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Thanks you explain every concept in simple words which are so easy to understand..🙏👍 and Thanks to the recommendation engine as well which recommended me your channel 😄😄

omkarfadtare
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Thanks for the beautiful videos, love your explanations, so simple but yet profound. Can't thank you enough. Your videos are better than paid courses

lancelotdsouza
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Based on Rsquared score are we selecting features? Is R squared is a feature selection technique for linear regression?

viratmani
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Thank you for very detailed video, outstanding work Aman.
One questions - When I create model in python with one independent variable, the output shows adjusted R square in it, how will we interpret adjusted R square for a model which has one independent variable?

fahadnasir
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Thanks for such excellent videos.

Just to make my understanding correct about the formula:
R2 = 1 – [(1-R2)*(n-1)/(n-k-1)]

Questions :
1. Is Adj. R2 calculated based on train and test dataset independently or on entire dataset ?

2. model.score(X, y) : are X and y from entire dataset or from X_train, /y_train or from X_test/y_test separately ?

n = is it the total observations in actual dataset or depends on the length of train and test dataset ?

k = X.shape[-1], X from actual dataset or from X_train/y_train?

Thanks Aman.

rezazaman
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Hello Aman,
Can u please help me to know if we add some important feature then what will happen to adjusted R square? Is it going to increase or decrease?

subhajitdutta
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What's the difference between adjusted-r square and feature importance? And when to use them

bhavithakusam
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Actually I have heard of research that indeed employee height influences payrates. Taller workers get more $$$$!

willhallahan
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