(btrain the logisticregression classifier from the sklearn linear_model package ( "traina naive classifier that always returns that isthe naive classifier identifies each instance as being not (dcompare the zero-one test losses of the logistic regression and the naive classifiers (efind the confusion matrixthe precisionand the recall of the logistic regression classifier (ffind the fraction of eights that are correctly detected by the logistic regression classifier repeat exercise with the original mnist data set use the first , rows as the train set and the remaining , rows as the test set the original data set can be obtained using the following code from sklearn datasets import fetch_openml xy fetch_openml ('mnist_ 'version = return_x_y =true for the breast cancer data in section investigate and discuss whether accuracy is the relevant metric to use or if other metrics discussed in section are more appropriate