Consider the following data. y is the outcome, x1 and x2 are two predictors of y y=c('A"A"A"A"A""B"B"B') x1 = c(0,0,0,0,1,1,1,0) x2 = c(33,54,56,42,50,55,77,49)

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Here are 2 multiple-choice questions. Please indicate your answers directly using ABCD and circle your answers.

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4) Listen
Consider the following data. y is the outcome, x1 and x2 are two predictors of y
y=c('A"A"A"A"A"B"B"B')
x1 = c(0,0,0,0,1,1,1,0)
x2 = c(33,54,56,42,50,55,77,49)
What is the Information Gain value associated with the partition (x2 < 35.5, x2 > =
35.5)?
0.76
0.82
O 0.8620746
Transcribed Image Text:4) Listen Consider the following data. y is the outcome, x1 and x2 are two predictors of y y=c('A"A"A"A"A"B"B"B') x1 = c(0,0,0,0,1,1,1,0) x2 = c(33,54,56,42,50,55,77,49) What is the Information Gain value associated with the partition (x2 < 35.5, x2 > = 35.5)? 0.76 0.82 O 0.8620746
Consider the following data:
y=c('A'"A"A""A"A"B,"B'"B')
x1 = c(0,0,0,0,1,1,1,0)
x2 = c(33,54,56,42,50,55,77,49)
What is the Information Gain value associated with the partition (x2 < 45.5, x2 >=
45.5)?
O 0.75
0.82
0.65
Transcribed Image Text:Consider the following data: y=c('A'"A"A""A"A"B,"B'"B') x1 = c(0,0,0,0,1,1,1,0) x2 = c(33,54,56,42,50,55,77,49) What is the Information Gain value associated with the partition (x2 < 45.5, x2 >= 45.5)? O 0.75 0.82 0.65
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