Victor Zhou victorzhou.com

How decision trees are trained 🌲  β†¦

A simple explanation of Gini Impurity and how it’s used to train decision trees. In brief:

Gini Impurity is the probability of incorrectly classifying a randomly chosen element in the dataset if it were randomly labeled according to the class distribution in the dataset

Click through for the full break down and some helpful examples.


Discussion

Sign in or Join to comment or subscribe

Player art
  0:00 / 0:00