Question: Consider a logistic regression problem in which there are no features, which means that: eBo Pr(Y = 1) = 1+eBo Assume that we have m

Consider a logistic regression problem in which there are no features, which means that: eBo Pr(Y = 1) = 1+eBo Assume that we have m data points with label Y = 1 and n data points with label Y = 0 (remember that features are irrelevant). (

a) Write down the likelihood function l(Bo).

(b) Find the Maximum Likelihood estimate o for this data set. (Hint: maximize loge (Bo)]. (c) Determine conditions under which this simple classifier classifies data points into Y=1 or Y = 0.

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