A discrete classifier is an algorithm which outputs the target Y or a discrete number N when given a sample from the test data. When the classifier expects the sample to belong in probability, it outputs Y, otherwise the output is N.
Explorium delivers the end-game of every data science process - from raw, disconnected data to game-changing insights, features, and predictive models. Better than any human can.
