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A . A logistic regression based classifier with prejudice removal regularizer is trained to obtain fair decisions. All classifier parameters except the one associated with

A. A logistic regression based classifier with prejudice removal regularizer is trained to obtain fair decisions. All classifier parameters except the one associated with Gender are initialized to 0. Parameter wgender associated with Gender is initialized to 1. Female and C++ are encoded as 0 and Male and Java are encoded as 1 while training the classifier. Assuming learning rate =0.1 and regularization constant is 0.5, calculate the value of classifier parameters after 1st iteration without and with prejudice removal regularizer. Assume batch training is being used. Show all calculation steps.

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