Decision Tree in Machine Learning Quiz

What is a decision tree primarily used for in machine learning?

• Data storage

• Data cleaning

• Data visualization

• Predictive modeling

Which node in a decision tree represents the original choice or feature?

• Root Node

• Leaf Node

• Child Node

• Internal Node

What does the term 'pruning' refer to in the context of decision trees?

• Increasing the depth of the tree

• Adding more nodes

• Changing the root node

• Removing branches to improve generalization

Which of the following is NOT a component of a decision tree?

• Edge Node

• Leaf Node

• Root Node

• Internal Node

What is the purpose of the 'Gini Index' in decision trees?

• To measure the speed of the algorithm

• To evaluate the quality of a split

• To determine the maximum depth

• To calculate the entropy

What is the main advantage of using decision trees?

• They require extensive preprocessing

• They are difficult to interpret

• They handle both numerical and categorical data

• They are only suitable for regression tasks

Which criterion is used to determine how data should be split at a decision node?

• Decision Criterion

• Entropy

• Information Gain

• Data Distribution

What does 'Information Gain' measure in decision trees?

• The change in entropy

• The number of nodes

• The speed of the algorithm

• The depth of the tree

What is a leaf node in a decision tree?

• A node that splits into more nodes

• A node that contains multiple branches

• The final decision or prediction

• The starting point of the tree

Which of the following is a disadvantage of decision trees?

• They are suitable for both classification and regression

• They are easy to interpret

• They handle missing values well

• They can overfit the training data