Which of the following is NOT a common criterion for splitting nodes in Decision
Practice Questions
Q1
Which of the following is NOT a common criterion for splitting nodes in Decision Trees?
Entropy
Gini impurity
Mean squared error
Information gain
Questions & Step-by-Step Solutions
Which of the following is NOT 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: Know that Decision Trees can be used for two main tasks: regression (predicting numbers) and classification (predicting categories).
Step 3: Learn about common criteria used to split nodes in Decision Trees. For classification tasks, common criteria include Gini impurity and entropy.
Step 4: Recognize that mean squared error is a criterion used for regression tasks, not classification tasks.
Step 5: Identify which option is NOT commonly used for splitting nodes in Decision Trees. Since mean squared error is for regression, it is the correct answer.
