Random Forest (Supervised Learning)
1. The Problem It Solves Decision Trees are simple, easy to understand, and work well on non-linear data. The problem is that a single Decision Tree is very unstable. A small change in the training data can produce a completely different tree. Left unchecked, it can also memorize the training data i
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