confusion-matrix

False discovery rate is a metric that answers the question, "How many positive predictions are incorrect?".

Macro averaging is a tool to compute a metric as a single value for multi-class problems.

Micro averaging is a tool to compute a metric as a single value for multi-class problems.

A Confusion Matrix is a tool to evaluate the performances of a classification model.

One versus all is a tool to transform a multi-class confusion matrix into several binary confusion matrices