Classification is the problem of predicting a discrete class label. Classes are also called targets, labels, or categories. Classification is applied by training a classifier algorithm on training data to predict how new data is classified.
A machine learning classification data set consists of features (X) and targets (y) where input variables X describe known discrete output variables y. Feature data is typically referred to as the feature set (or feature space). Classification is considered supervised learning because we know the targets that correspond ...
