logical, defining if scaled or not. Default is FALSE.
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further arguments to be passed to other functions.
Value
Details
The Brier score is a proper score function that measures the accuracy of probabilistic predictions. It is applicable to tasks in which predictions must assign probabilities to a set of mutually exclusive discrete outcomes. The set of possible outcomes can be either binary or categorical in nature, and the probabilities assigned to this set of outcomes must sum to one (where each individual probability is in the range of 0 to 1). It's calculated as
$$\frac{1}{n} \cdot \sum_{i=1}^{n}\left ( p_{i}-o_{i} \right )^2 \; \; \; \textup{where} \;
p_{i} predicted probability \; \textup{and} \; o_{i} observed value out of (0,1)$$
References
Brier, G. W. (1950) Verification of forecasts expressed in terms of probability. Monthly Weather Review, 78, 1-3.