StackedML
Practice
Labs
Questions
Models
Pricing
Sign in
Questions
/
Supervised Learning
/
Tree-Based Models
/
Gini vs entropy
← Previous
Next →
185.
Definition of Gini Impurity
easy
What does the Gini impurity measure in a decision tree node?
A
The total number of incorrect predictions made by the node across all training samples in that region after applying the node’s majority class label
B
The variance of the target variable within the node weighted by the number of samples
C
The probability of misclassifying a randomly chosen sample if it were labeled according to the node's class distribution
D
The entropy of the class distribution scaled by the logarithm of the number of classes
Sign in to verify your answer
← Back to Questions