Part 2-Post Prunning And Pre Prunning In Decision Tree Classifier In Hindi| Krish Naik

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pre-pruning or early stopping involves stopping the tree before it has completed classifying the training set and post-pruning refers to pruning the tree after it has finished.
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post pruning and pre pruning. Decision tree leads to overfitting hence requires pruning. Decsion tree is made using training data set so it may overfit because it wont perform optimally on test data set. Efficient is preprunning. Which is done in case of large dataset and postpruning can be done when small data set is used.

Postpruning: first make the decision tree and then do the pruning(eg max depth, max features for split hyperparameter). Max depth me level define kar sakte ho starting from 0 till your depth. Basically acc to this hyperparameter you cant split beyond the specified depth.

Prepruning: Apply all hyperparamters tuning along with making of decision tree. Decide max depth as range of values and max features also as a range of values.

netviz

Haven't seen anyone explain the concepts so easily

Kbshorts

🙂koi insaan itna achhe se kese padha sakta hai yrr, Sir Mahan sabd bhi chota pr jayega apke samne.

Er_IT_prashantjha

Which note taking app you are using to write, draw

Aadityaaryan

Commenting here for the previous video……..love youuu sirrrr…what an explaination…..

anmolchaudhary

Understood very well sir keep up with good work

demon

Could not find the code to apply post pruning the tree

YadavLaxmi

Sir please ANN algorithm bhi krvaiye hindi mei

niku

Apki notes kaise milegi simple language me

Tanvipatil

Pre-pruning is not more efficient in terms of accuracy and fit. In terms of run time it is.

ravi

Sirrrr.... ❤ I have a question 🙋!
If interviewer ask a question why we are using minus ( - ) sign in Entropy? Please ❤

VikasSingh-nqyx

College me situation itna Kharab hai na pucho hi mat Mumbai University me teachers kuch bhi update nhi rehte latest market k hisab se, literally teachers log rote rehte hai students k samne.

Er_IT_prashantjha

bhai tum phle q nhi miley mera 2 lakh bach jata yaar

syedmohamad

Part 2-Post Prunning And Pre Prunning In Decision Tree Classifier In Hindi| Krish Naik

Part 2-Post Prunning And Pre Prunning In Decision Tree Classifier In Hindi| Krish Naik

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