Data Models — Introduction to Classification Evaluation Metrics

Many times when people think of modeling data, they directly think of regression models to generate predictions of some target variable based on gathered data. However, classification models are extremely useful for generating predictions based on data as well, but in a different way. Regression models are used to predict continuously distributed target variables, which have an uncountably infinite number of outcomes. Examples of regression problems include predicting the price of a house at sale, predicting the temperature on a given day, and…