Decision Tree Learning

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What is each path from the tree root to a leaf equivalent to?

A disjunction of attribute tests

A Boolean or binary classification

A conjunction of attribute tests (correct)

A classification of medical patients by their disease

What is the primary function of a decision tree?

To visualize high-dimensional data

To identify correlations between features

To classify instances into distinct categories (correct)

To predict continuous values

What is a characteristic of instances in decision tree learning?

They are described by a fixed set of attributes and their values (correct)

They are classified into a continuous set of categories

They have no missing attribute values

They are represented by a variable set of attributes

What is the role of a decision node in a decision tree?

To specify a test of an attribute of the instance Signup and view all the answers

What type of output values does the target function have in decision tree learning?

Discrete output values Signup and view all the answers

How does a decision tree classify an instance?

By sorting the instance down the tree from the root to a leaf node Signup and view all the answers

What is the relationship between the branches and attributes in a decision tree?

Each branch corresponds to a possible value of an attribute Signup and view all the answers

What is a strength of decision tree learning methods?

They can handle errors in the training data and missing attribute values Signup and view all the answers

What type of problems are decision tree learning methods often applied to?

Classification problems with discrete output values Signup and view all the answers

What is the representation of a decision tree?

A disjunction of conjunctions of constraints on attribute values Signup and view all the answers

Decision Tree Learning

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Questions and Answers

What is each path from the tree root to a leaf equivalent to?

What is the primary function of a decision tree?

What is a characteristic of instances in decision tree learning?

What is the role of a decision node in a decision tree?

What type of output values does the target function have in decision tree learning?

How does a decision tree classify an instance?

What is the relationship between the branches and attributes in a decision tree?

What is a strength of decision tree learning methods?

What type of problems are decision tree learning methods often applied to?

What is the representation of a decision tree?

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