# Probabilistic Classification

In *probabilistic classification* problems, the label space `⚠ $\mathbf{Y}$`

is finite and Forecaster is required to output a probability measure on `⚠ $\mathbf{Y}$`

. In *binary classification problems*, the size of `⚠ $\mathbf{Y}$`

is 2; usually, `⚠ $\mathbf{Y}=\{0,1\}$`

or `⚠ $\mathbf{Y}=\{-1,1\}$`

, and a forecast can be interpreted as a number in the interval `⚠ ${[0,1]}$`

(the predicted probability of the outcome 1).

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