Question: We have the following data, represented using two real - valued features ( ( mathrm { X } _ { 1 }

We have the following data, represented using two real-valued features (\(\mathrm{X}_{1}\) and \(\mathrm{X}_{2}\)), labeled as + or class. Is there any logistic regression classifier that can perfectly classify the examples? Can you draw the decision boundary?
If logistic regression classifier cannot work here, what could be a perfect decision boundary? Can you draw it?
We have the following data, represented using two

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