Which of the following is a common criterion for splitting nodes in Decision Tre

Which of the following is a common criterion for splitting nodes in Decision Trees?

Which of the following is a common criterion for splitting nodes in Decision Trees?

Step 1: Understand what a Decision Tree is. It is a model used for making decisions based on data.
Step 2: Learn that Decision Trees split data into smaller groups to make predictions.
Step 3: Know that to decide how to split the data, we need a way to measure how 'pure' or 'impure' the groups are.
Step 4: Gini Impurity is one method used to measure this impurity. It helps to determine how mixed the classes are in a group.
Step 5: The goal is to split the data in a way that results in groups that are as pure as possible, meaning they contain mostly one class.

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