A classification tree is built on the data below to predict whether or not a student will pass a course The predictor variables include the categorisation of 2nd year marks (categorised as high (H) / medium (M) / or low (L)) and whether or not the majority of lectures were attended (yes (Y) or no (N)). The response is coded as a pass (P) or fail (F). 2nd yr marks Attended Passed F Y M F M Y H N Y Previous marks would be the first variable that these data get split on, true or false? P. P. P. z > z > z >

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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A classification tree is built on the data below
to predict whether or not a student will pass a
course The predictor variables include the
categorisation of 2nd year marks (categorised
as high (H) / medium (M) / or low (L)) and
whether or not the majority of lectures were
attended (yes (Y) or no (N). The response is
coded as a pass (P) or fail (F).
2nd yr marks Attended Passed
N
F
Y
M
N
M
P
H
N
P
H
Previous marks would be the first variable that
these data get split on, true or false?
P.
P.
z >
z >
Transcribed Image Text:A classification tree is built on the data below to predict whether or not a student will pass a course The predictor variables include the categorisation of 2nd year marks (categorised as high (H) / medium (M) / or low (L)) and whether or not the majority of lectures were attended (yes (Y) or no (N). The response is coded as a pass (P) or fail (F). 2nd yr marks Attended Passed N F Y M N M P H N P H Previous marks would be the first variable that these data get split on, true or false? P. P. z > z >
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