In *probabilistic classification* problems, the label space is finite and Forecaster is required to output a probability measure on . In *binary classification problems*, the size of is 2; usually, or , and a forecast can be interpreted as a number in the interval (the predicted probability of the outcome 1).

An example of forecasting strategies for probabilistic classification is various Venn predictors.

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