@lachinemearning.com: bagging? boosting? these are machine learning methodologies that leverage parralelism and sequences when building ensembles #aiml #computerscience #technology #machinelearning #llm
Bro why am i blocked on my other account 😢. Anyways is boosting always better than bagging? When would you use bagging (other than when ur especially worried about overfitting)
2026-04-15 17:56:44
1
fantalight :
based
2026-05-28 22:33:32
0
Todd Denaro :
Can you go over k-fold cross validation? Or would you use k-fold in a random forest model? Also, why 70%:30% train test split instead of 80%:20% or something else?
2026-04-16 07:27:27
0
Алёшенька :
yes dataset correct!
2026-04-15 09:21:45
0
Funperefagha :
Thank you again 😌
2026-04-15 07:34:51
2
orlo :
A classic
2026-04-15 08:25:32
1
Jeff🐾 :
👍👍
2026-06-11 16:13:58
0
To see more videos from user @lachinemearning.com, please go to the Tikwm
homepage.