Question: Use the training data to estimate the mean 0 under label 0 and the mean 1 under label 1. This can be done by simply

Use the training data to estimate the mean 0 under label 0 and the mean 1 under label 1. This can be done by simply averaging the training with that label. (b) Assuming the variances under label 0 and 1 are equal to 2, determine the ML rule DML(y). Specifically, assume that the data Y with label 0 is generated according to Gaussian(0, 2) and the data Y with label 1 is generated according to Gaussian(1, 2). (c) Sketch the conditional PDFs Gaussian(0, 2) and Gaussian(1, 2) on the same plot along with the decision boundary from the ML rule. (You can assume 2 = 1.) (d) Add the testing data to your sketch just as in Lab 8. Use circles for testing data with label 0 and squares for testing data with label 1

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