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
0
Answer:
c is the correct answer..
Answered by
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
Similar questions