In this problem you use the Boolean least squares classifier with skewed decision point, described on pages 223-224 of the textbook, to alter the false positive and false negative rates. The classifier is , where is the (realvalued) least squares predictor of the labels

| April 14, 2018

In this problem you use the Boolean least squares classifier with skewed decision point, described on pages 223-224 of the textbook, to alter the false positive and false negative rates. The classifier is , where is the (realvalued) least squares predictor of the labels encoded as , and is a constant that skews the decision point. We will use basic regression, i.e., . f (x) = sign( (x) − α) ̂ f ̃ f ̃ ±1 α f (x) = β + ν ̃ xT Basic classifier. The cell below co … 

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