Question: Consider a single Boolean random variable Y (the classification). Let the prior probability P(Y = true) be . Lets try to find , given a

Consider a single Boolean random variable Y (the “classification”). Let the prior probability P(Y = true) be π. Let’s try to find π, given a training set D = (y1, . . . , yN ) with N independent samples of Y . Furthermore, suppose p of the N are positive and n of the N are negative.

By differentiating the log likelihood L, find the value of π that maximizes the likelihood.

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Calculation Let the class be Y true The main effect is the classification of a sample The classimputation is the mean value of an Nclass distribution which we assume to be pY 1 05 and nY 1 025 The err... View full answer

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