From Probability Ranking Principle to Strong Separation Principle

Separability is a highly desirable property for constructing and operating autonomous information systems, and especially classifiers. In this post, I present a step by step argument which shows that based on the classification principles, having better separability in the feature space leads to better accuracy in the classification results. Based on the Probability Ranking Principle […]