Machine Learning, Logistic Regression, Support Vector Machine, Supervised Learning, Classification Algorithms.
regression is applied to an input variable (X) where the output variable (y) is a discrete value which ranges between 1 (yes) and 0 (no). It uses logistic (sigmoid) function to find the relationship between variables. The sigmoid function is an S-shaped curve that can take any real-valued number