Fast optimization of classification thresholds

Binary classification problems (target/non-target) are often modeled as a pair where is our model, which maps input vectors to scores, and is our threshold, such that we predict to be of target class iff . Otherwise, we predict it to be of non-target class. The threshold is usually set to , but this needs notContinue reading “Fast optimization of classification thresholds”