Machine Learning | Reduced Error Pruning

[@RanjiRaj18]

For notes👉 github.com/ranjiGT/ML-latex-amendments

[@pep1993i]

The only proper video on Reduced error pruning in youtube. Thank you so much Ranji! Keep up the good work!

[@aparnak8106]

Should not node 3 when generalized using pruning set/validation set become A(0) instead of B(0). Seems like mistake made from erasing the leaf nodes. Also node 11 when run through pruning set has error of 1. (x=1, z=1 in your pruning set example classifies the output label as A). Agreed that node 9 still has error 1 and hence can be replaced as leaf node.

[@calcifer464]

10:43 you have a mistake the right is A(0)

[@sudhanshuguru209]

Wonderful explanation.

[@AKHILDS-j3v]

Best video for this topic

[@hemantdas9546]

What was pruning set for

[@aparnak8106]

Thanks for the video. The video is very helpful.

[@hannahgrandine563]

Awesome video thank you!!

[@aysblt80]

Thank you for the video, it is helpful but I don't understand exactly what is the difference between pruning and reduced error pruning? In some tools they are considered as different parameters.

[@shristisingh2417]

In REP table how the class is calculated???

[@RanjiRaj18]

It is given as part of the validation set

[@shristisingh2417]

@@RanjiRaj18
Okay

[@hemantdas9546]

Sir what is the error metric. Optimistic or pessimistic. I saw your video.

[@adiflorense1477]

10:57 Sir, how much time does this pruning have to do?

[@RanjiRaj18]

It depends upon size of your tree

[@YigitMesci]

How do you calculate error for an inner node ??? It's just a path to another node it has no label on it? I think nodes should X,Y or Z in this case and the paths are just 0 or 1

[@univuniveral9713]

@Long Dang Good answer

[@xiujiesong3095]

Thanks!

[@tarunsachdeva3570]

Yrr error kese nikala . Rest very useful

[@always-stay-positive5187]

Cambridge. Wow

[@lucutes2936]

whyyyyyyyyyyyyyyyyy