18 Questions
What is the process of dividing a node into two or more sub-nodes called?
Splitting
What is the topmost node in a decision tree structure that represents the entire population or sample?
Root Node
What is a node that does not split further called?
Leaf Node
What is the process of removing sub-nodes of a decision node called?
Pruning
What is a subsection of the entire tree called?
Sub-Tree
What is the node that splits into further sub-nodes called?
Decision Node
What is the primary criterion for selecting the best attribute to split the data in a decision tree?
Information gain
What is the purpose of recursively partitioning the data in a decision tree?
To split the data based on the best attribute
What is a common stopping criterion for building a decision tree?
Maximum depth reached
What is a characteristic of a decision tree that makes it accessible to non-experts?
Easy to understand and interpret
What is a disadvantage of a single decision tree?
Sensitive to small changes in data
What is the primary advantage of using a random forest over a single decision tree?
Improves generalization by averaging the probabilities
What is the primary mechanism by which the random forest algorithm generates a prediction?
By aggregating the predictions from multiple decision trees through voting
What is the role of the decision tree algorithm in the random forest analogy?
To ask friends about their individual travel experience and get one recommendation
What is the outcome of the voting procedure in the random forest algorithm?
A single best place for the trip
How does the random forest algorithm handle the feature importance?
It provides a relative importance score for each feature
What is the application of the random forest algorithm in the context of loan applications?
To identify loyal loan applicants
What is the relationship between the random forest algorithm and the Boruta algorithm?
The random forest algorithm lies at the base of the Boruta algorithm
Test your knowledge of decision trees, a supervised learning algorithm used for classification and regression tasks. Learn about the types of decision trees based on target variables and their applications.
Make Your Own Quizzes and Flashcards
Convert your notes into interactive study material.
Get started for free
