Logistic regression

Logistic regression is a supervised learning and statistical approach that searches to model an association between a set of independent variables, also known as the predictors, and a discrete dependent variable, known as the target or the class target. In other words, it uses a collection of attributes or "features" as they are most commonly named, to learn to classify them into a category.

With little work, you can build apps to classify datasets into groups, called logistic regression.