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This question involves the concept of VC dimension in machine learning. What is the VC dimension, , of a threshold in ? The target function

This question involves the concept of VC dimension in machine learning.

What is the VC dimension, image text in transcribed, of a threshold image text in transcribed in image text in transcribed? The target function is specified by image text in transcribed if image text in transcribed and image text in transcribed if image text in transcribed. Prove your answer.

Note that to prove the classifier cannot shatter image text in transcribed data points, it is not required to show all the configurations and you only need to show this happens in one reasonable configuration.

f(x)+1 f(z) =-1 n+ 1

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