Which of the following is NOT a common criterion for splitting nodes in Decision

₹0.0

Question: Which of the following is NOT a common criterion for splitting nodes in Decision Trees?

Options:

Correct Answer: Mean squared error

Solution:

Mean squared error is typically used in regression tasks, while the other options are used for classification tasks.

Which of the following is NOT a common criterion for splitting nodes in Decision Trees?

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.

No concepts available.