Decision Tree 5: overfitting and pruning

[@skab111]

This is the first video I watched in this channel and I have to say I was surprised with how deep and fast I understood how overfitting works. Thank you so much, subscribed and definatelly going to watch your other videos. Keep it up!

[@henrylee19840301]

Even as a non-native speaker, I could learn almost everything from your class without barriers in such short time. I read some textbook before the class, however in this class, you solved all my questions. THANK YOU SO MUCH!

[@sanjayshende5632]

Before I saw this video, I only knew one god, and that was Diego Maradona. You are the 'Maradona/Messi/Zidane combined' of teaching Data Mining...PERIOD !!! Couldn't thank you enough!

[@adhiyamaanpon4168]

haha

[@patrickbyrne9784]

You are a golden god I bow before your teaching excellence

[@adesewaadegoke739]

You are more than amazing!!!..i'm feeling giddy here cos you are putting together all the pieces that got me frustrated in class. Thank you!

[@marianaluna6184]

Amazing, you have no idea how much you are helping me right now!

[@suryattheja]

Thank you very much professor. Not only did I understand, but also enjoyed learning this.

[@anuradhasrivastava1592]

Thanks for posting this amazing lecture! One question - Can you explain in detail what do you mean when you say 'remove the node that gives you the greatest improvement' - in the context of pruning? Thanks in advance.

[@anupamagupta4370]

Loved the video! But where can I find the slides that you share?

[@HappinessAmplified]

Is it possible to have similar videos on GBM. I find your channel to be the most helpful for all the topics it has.

[@anzalkhan8118]

Can you give an example of how overfitting occurs on the test data ? How does pruning the tree help us if we have never seen the data ( We wouldn't find it anywhere in our tree) ?

[@user-zy5ig3ux7s]

Amazing Leactures.. Well explained.. Proper slides.. Got enough to start with Decision Tress... Thank you

[@alishaaneja2291]

I really benefited a lot from all your videos. Thanks a lot!

[@ms_1918]

Best explanation Thanks Sir

[@tayyabsayyad]

Excellent explanation sir

[@medsafi4523]

You are an amazing teacher !!

[@UdaiBhardwaj25]

Hey, could you please tell me which book this class is following? Thanks :)

[@robylyon93]

I think it's Tom Mitchell's 'Machine Learning' ;)

[@mohsin7154]

Sir Victor or anyone can you give an example and prove that noise can increase but also decrease size of decision tree???

[@swaruppanda2842]

so plotting the graph is the only mean to detect overfit?

[@ymgindia]

Thank you, very well explained!! You saved me :)

[@yugix901]

You are just amazing!!! Perfect explanation

[@nah1446]

Hello, do you have a text or a video on how cross-validation is used for pruning?

[@vlavrenko]

Nikhil Hutheram This is my only video at the moment covering DT pruning. I'll be uploading the lectures from next year (once they've been recorded), and they might have a bit more detail.

[@amanryzus]

simple and perfectly explained.Thanks !

[@mdyeasinarafath4450]

Sir, Does ID3 support pruning?

[@TheJash27]

You mention a textbook at 6:00. Can you tell me which book is it?

[@Nerevarh]

Jash Shah I think, I have seen the graphic used in the beginning in the textbook that I use. "Artificial Intelligence: Pearson New International Edition: A Modern Approach" by Stuart Russell & Peter Norvig. ISBN13: 9781292024202 ISBN10: 1-29202-420-8

[@madhurisuda8230]

Hi, this video was really useful! Thanks. I'd like to know if you happen to know of any good tutorials on how to go about implementing algorithms on R programming?

[@vlavrenko]

Madhuri Suda Thanks. I don't use R, so can't really make a recommendation.

[@kzar7233]

Can u tell me the name of the book which u were talking about in this lecture....

[@tajinderchawla2300]

tom michell, Don't buy that book if you're new to the world of ML.

[@sakinyos1]

Thank you. It was very helpful

[@vlavrenko]

You're welcome. Glad you've enjoyed the video.

[@drdrbreak]

Thanks for the video! Helped me out!

[@vlavrenko]

Thanks, happy to know this is useful.

[@oliveryoung6501]

what is a singleton ?

[@hgl9590]

May I know what book is used?

[@TheMarmary]

Haoge Liu Maria Simi ppt slides

[@nvfpv]

legend

[@matteo22395]

This is awesome thank you

[@MegaxAT]

awesome

[@erikmartinez2406]

Idol!!!!!!

[@Schnarek89]

Very nice and the best its not a guy from india with a weird pronunciation.

[@cagankuyucu9964]

I bet he didn't realize this series can be this popular when he made them :))

[@adamajinugroho830]

except siraj, he is quite good

[@wihanadi5927]

Please try not to be rude. Just because you're not very familiar with Indian accent does not mean that the accent is weird :-). Peace

[@shivasrivastava89]

Fuck you

[@snehipachchigar7726]

Your statement implies Indians contribute so well in providing education lectures in advanced courses. Just. Proud! Ps : our mother-tounge is different and still most of us speak english very well. Try and be a bit appreciative, jerk!

[@sahilmalik2178]

Smoke Weed EveryDay