Mathematical theorem and fraud risk classification with Gradient Ascent
Previously, we applied linear regression and LWR on regression problem.
In this story, we’ll handle classification problems with logistic regression.
Classification is a supervised machine learning method where the model tries to predict the correct label of a given input data called classes.
Classifiers learn class characteristics from input data, then learn to assign possible classes to new unseen data according to those learned characteristics.
While regression predicts numeric values, classification predicts a class where input data should be categorized.
In classification problems, the goal is to assign an input data point to one of a predefined set of categories.