R sqaured And Adjusted R squared Machine Learning In Hindi|Krish Naik Hindi

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Adjusted R-squared can provide a more precise view of that correlation by also taking into account how many independent variables are added to a particular model
R-squared is expressed as a percentage between 0 and 100, with 100 signaling perfect correlation and zero no correlation at all.
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Опубликовано:

28 янв 2023

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Комментарии : 21

@MuhammadWahab-jt6ly Год назад

love the way of teaching ...... Algorithm must should viral you

@MuhammadWahab-jt6ly Год назад

Amazing knowledge able content 😍

@mayanktiwari2498 11 месяцев назад

Thank you Krish for simplifying this topic!

@SiddharthDeo Год назад

Awesome gem content never stop making videos we will always support you. Thanks Krrish

@rubayetalam8759 Год назад

PLEASE KEEP UPLOADING MORE CLASSES. BEST ML COURSE THEY ARE!

@083-cse-sameerkhan3 Год назад

GUYS R^2 formula is R^2=1-(SSE/SST) correct it mistakenly sir written it wrong

@abdullahbinmohammed88 5 месяцев назад

Excellent description sir

@divyakarlapudi 7 месяцев назад

Thank you so much for thus explanation :)

@endsemister 7 месяцев назад

great video sir....

@tavishimehta4848 11 месяцев назад

Thank you sir

@Sahilkumar-dd6de 5 месяцев назад

thanku so much sir love from gndu amritsar

@DrChandrabhanPatel 6 месяцев назад

nice described

@prabinsharma1169 Год назад

Krish sir I need K means clustering algorithm video with full explanation in easy way please make video in this algorithm plzz plz plz plz plz plz

@kunalkhare8340 Год назад

sir please course ki videos jldi jldi laiye

@HamsterKombat0502 Год назад

Sir, how does the machine knows whether it is useful parameter or not in case of adjusted r2 if we add useful parameter also it decreases sir please explain on this

@darksoul2734 Год назад

which software tool use you sir ?

@SohamNimale 4 месяца назад

10:43 I did not understand why if p increases, the value should decrease. There is a 1 - ... right, so shouldn't the overall value decrease.

@nishitasinha8144 Год назад

Sir, how is the value of Adjusted R squared decreasing on addition of any feature? Because the model doesn't know if the added feature is important or not. What happens if even for the second time, the added feature is an important feature w.r.t the target variable? Will the adjusted R2 still decrease or increase?

@JimsChacko Год назад

It doesn't matter if the feature is important or not. Adjusted R2 will always be less or equal to R2 since we are taking no of independent variables at the bottom. So if you add more features the adjusted r2 will keep on decreasing rather than increasing.

@techbinay 10 месяцев назад

you mean if feature is important it will include in r2 formula but it's not important will include in adjusted r2 formula @@JimsChacko

@Ayushi118 10 месяцев назад

Sir I am not able to get this point ki how the P = 3 will make adjusted R² 70 % when gender is taken as 3rd P and it will become 74% when location will be taken as 3rd P... mathematically P= 3 will give same result na!