Computer Science, asked by itsonlypriyanka, 3 months ago

A Decision Tree is a

A)Flow-Chart.

B)Structure in which the internal node represents test on an attribute; each branch
represents the outcome of the test and each leaf node represents a class label.

C)Flow-Chart and structure in which the internal node represents test on an
attribute, each branch represents the outcome of a test and each leaf node
represents a class label.

D)Binary tree that is used for regression but not for classification.​

Answers

Answered by Anonymous
0

Answer:

c is the correct answer..

Answered by vinod04jangid
0

Answer:

option-c

Explanation:

A Decision Tree is a Flow-Chart and structure in which the internal node represents test on an

attribute, each branch represents the outcome of a test and each leaf node

represents a class label.

Decision Trees (DTs) are a non-parametric supervised learning method used for classification and regression. The goal is to create a model that predicts the value of a target variable by learning simple decision rules inferred from the data features. A tree can be seen as a piecewise constant approximation.

FINAL ANSWER- option-c

#SPJ3

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