Logistic regression assumptions

Binary Output Variable: Logistic regression is intended for binary (two-class) classification problems. It will predict the probability of an instance belonging to the default class, which can be snapped into a 0 or 1 classification.ˆRemove Noise: Logistic regression assumes no error in the output variable (y), consider removing outliers and possibly misclassified instances from your Continue reading “Logistic regression assumptions”