Logistic Regression, Machine Learning, Classification, Regularization, Algorithms.
belongs to class 0 then p(Xᵢ) is as close to 0 as possible or we can also say that 1-p(Xᵢ) is as close to 1 as possible. Hence we can also say that if we take the product of p(Xᵢ) of all points belonging to class 1 and 1-p(Xᵢ) of all points belonging to class 0 then this value should be maximum.