estion 14 t yet swered arked out of 00 Flag question Which of the following statements is not true about the Decision tree? Select one: O a. It is a predictor that predicts the label associated with an instance by traveling from a root node of a tree to a leaf Ob. It can be applied on binary classification problems only O O c. At each node, the successor child is chosen on the basis of a splitting of the input space d. The splitting is based on one of the features or on a predefined set of splitting rules
estion 14 t yet swered arked out of 00 Flag question Which of the following statements is not true about the Decision tree? Select one: O a. It is a predictor that predicts the label associated with an instance by traveling from a root node of a tree to a leaf Ob. It can be applied on binary classification problems only O O c. At each node, the successor child is chosen on the basis of a splitting of the input space d. The splitting is based on one of the features or on a predefined set of splitting rules
Essentials of Business Analytics (MindTap Course List)
2nd Edition
ISBN:9781305627734
Author:Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson
Publisher:Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson
Chapter5: Probability: An Introduction To Modeling Uncertainty
Section: Chapter Questions
Problem 26P
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swered
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Flag question
Which of the following statements is not true about the Decision tree?
Select one:
O
a. It is a predictor that predicts the label associated with an instance by traveling from a root
node of a tree to a leaf
Ob. It can be applied on binary classification problems only
O
O
c. At each node, the successor child is chosen on the basis of a splitting of the input space
d. The splitting is based on one of the features or on a predefined set of splitting rules"
Transcribed Image Text:estion 14
t yet
swered
arked out of
00
Flag question
Which of the following statements is not true about the Decision tree?
Select one:
O
a. It is a predictor that predicts the label associated with an instance by traveling from a root
node of a tree to a leaf
Ob. It can be applied on binary classification problems only
O
O
c. At each node, the successor child is chosen on the basis of a splitting of the input space
d. The splitting is based on one of the features or on a predefined set of splitting rules
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