Media Summary: ... so those are the hyper parameters you can control to enforce some Let me bring you back to the lecture eight so on lecture eight we visualized a The is the third part of the classical techniques in machine learning:
11 1 Decision Tree Regularization - Detailed Analysis & Overview
... so those are the hyper parameters you can control to enforce some Let me bring you back to the lecture eight so on lecture eight we visualized a The is the third part of the classical techniques in machine learning: Récapitulation de l'overfitting et de la régularisation dans les arbres de décision. This brief video explains *the components of the This week, Ingo Mierswa, RapidMiner's Chief Executive Officer, spends his 5 minutes discussing
Because they have but we're teaching you about decision stumps which are the building blocks for Our examples were on discrete attributes attributes that took a bunch of possible values categorical you can also do
![[S1E11] Decision Trees | 5 Minutes With Ingo](https://i.ytimg.com/vi/xohJ1Vu-3xY/mqdefault.jpg)
