Flashcard on Decision Trees in Machine Learning

Front

What is the primary purpose of decision trees in machine learning?

Back

Classification and regression tasks

Front

Which metric is commonly used to evaluate splits in decision trees for categorical features?

Back

Gini Impurity

Front

What does the root node of a decision tree represent?

Back

The entire dataset

Front

What is a disadvantage of decision trees?

Back

They can overfit the training data.

Front

Which of the following is NOT a measure used in computing information gain? Entropy, Gini Index, Standard Deviation, Classification Error

Back

Standard Deviation

Front

How do decision trees handle numerical features?

Back

By evaluating threshold values

Front

What is the main goal of maximizing information gain in decision trees?

Back

To reduce uncertainty or impurity

Front

What is a leaf node in a decision tree?

Back

A terminal node providing the output

Front

Applications that can utilize decision trees: Database management, Web development, Customer segmentation, Image processing

Back

Customer segmentation

Front

What is the Gini Index used for in decision trees?

Back

To measure the purity of a node