Suppose we learned a tree on a dataset and learned a tree with the following decision boundary. The image also shows the training examples used to learn the tree with "+" indicating positive label while "-" indicating negative. For this question, we are interested in using the tree learned from this data to pre

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Suppose we learned a tree on a dataset and learned a tree with the following
decision boundary. The image also shows the training examples used to learn the
tree with "+" indicating positive label while "-" indicating negative.
For this question, we are interested in using the tree learned from this data to predict
the probability a point has a positive label. Using this tree, what is the predicted
probability that the label is positive for the input (x[1] = 4, x[2]=2)? Enter your
answer as a number between 0 and 1 (rounded to two decimal places)
x[2]
4
3
2
0.87
2
3
4
x[1]
Transcribed Image Text:Suppose we learned a tree on a dataset and learned a tree with the following decision boundary. The image also shows the training examples used to learn the tree with "+" indicating positive label while "-" indicating negative. For this question, we are interested in using the tree learned from this data to predict the probability a point has a positive label. Using this tree, what is the predicted probability that the label is positive for the input (x[1] = 4, x[2]=2)? Enter your answer as a number between 0 and 1 (rounded to two decimal places) x[2] 4 3 2 0.87 2 3 4 x[1]
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