Multiclass Classification One vs All (One vs Rest) One vs One Machine Learning by Dr. Mahesh Huddar

Multiclass Classification One vs All (One vs Rest) | One vs One Machine Learning by Dr. Mahesh Huddar
Multi-class Classification
Multiple class labels are present in the dataset.
The number of classifier models depends on the classification technique we are applying to.
One vs. All:- N-class instances then N binary classifier models
One vs. One:- N-class instances then N* (N-1)/2 binary classifier models
Example:- Check whether the fruit is apple, banana, or orange.
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[@EngineeringWithBhavesh]

Very nicely explained!!

[@shayanchakraborty5761]

This is literally amazing. Can you please prepare a comprehensive segmented playlist which will make it easier for us to navigate through the contents? Thanks a ton for such a lucid explanation . 🙏

[@MaheshHuddar]

Noted
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[@sujithamamclasses]

Thank you so much for such clean and clear explaination your ppt slides are too good

[@youtubistas]

Thank you. I understood it while walking!

[@Medha005]

Simple language and easy explanation. Thank you so much.

[@MaheshHuddar]

You are welcome!
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[@dennisgavrilenko]

This man is a legend, thanks for the amazing help!

[@MaheshHuddar]

Welcome
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[@kennethkwakye6004]

Very clear explanation. Thank you

[@MaheshHuddar]

Welcome
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[@gunashaalini]

Thanks for such a simple way which is very easy to understand the concept

[@MaheshHuddar]

Welcome
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[@aminebouobida877]

Perfectly explained

[@MaheshHuddar]

Thank You
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[@bhagyabijlaney4993]

Sir which book have you followed for this section of the playlist? I'd would like to refer to it.

[@bharanidaran4051]

How to find a probability in green blue and red

[@jorgelopezcuns]

Very good explanation.I really appreciate content like this😀

[@MaheshHuddar]

Thank You
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[@KF1244-e8w]

Thank you very much for the explanation

[@MaheshHuddar]

Welcome
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[@Sarah-it3uo]

Brilliant thanks!

[@MaheshHuddar]

Welcome
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[@snehalchoudhar]

thank you sir

[@MaheshHuddar]

Welcome
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[@Sai48577]

thank you for the explanation

[@MaheshHuddar]

Welcome
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[@vasundharakakade5476]

thank u so muchh

[@MaheshHuddar]

Welcome
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[@Jdjdhsgxuxu]

Good explanation but computers understand 1 and 0 not 1 and -1

[@deniskipchirchir3150]

Nice

[@MaheshHuddar]

Thank You
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[@pradeeppaladi8513]

To the point. Thanks

[@MaheshHuddar]

Welcome
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[@pradeeppaladi8513]

@@MaheshHuddar Already did!

[@prof.meenav1550]

good effort sir

[@MaheshHuddar]

Thank You
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