Fundamentals
Classification
Classification predicts one or more discrete categories.
How it works
A classifier produces scores or probabilities for a fixed label set. A decision rule then maps those values to class predictions.
A concrete example
Illustrative: probabilities cat 0.72, dog 0.21, fox 0.07 produce cat.
Do not confuse it with Regression
classification predicts categories; regression predicts continuous quantities.