Symbol B
B is part of the quantity the equation computes from the expression on the right.
Read this term in its guide →Published equation contexts
The Brier score is the mean squared error between a stated probability and the binary outcome (1 if it happened, 0 if it did not): . where is the forecaster’s stated probability on question i and \{0,1\} is the realized outcome. Lower is better; a perfectly calibrated coin-flip forecaster scores 0.25 on a 50/50 question, and a forecaster who says 100 percent and is wrong scores the maximum possible 1.0.
B is part of the quantity the equation computes from the expression on the right.
Read this term in its guide →N occurs below the fraction bar. The quantity above the bar is divided by this expression; zero is excluded as a denominator.
Read this term in its guide →i appears in the bound of this sum. The bound states where the repeated operation starts, ends, or which values it includes.
Read this term in its guide →the forecaster’s stated probability on question i and \{0,1\} is the realized outcome.
Read this term in its guide →is one of the signed contributions combined to compute the quantity on the left.
Read this term in its guide →This label says where the repeated addition, multiplication, or accumulation starts. Read its value or condition together with the article’s description of the index.
Read this term in its guide →This label says where the repeated addition, multiplication, or accumulation stops. It sets the last term or end of the range.
Read this term in its guide →With a fixed numerator, increasing a nonzero denominator reduces the fraction. Read it with the definitions, units, and assumptions supplied by the article.
A symbol can carry a different meaning in another article. Each occurrence keeps its own guide and term definitions.
Equation 1 · Future Studies
This equation states an equality: the expressions on both sides have the same value under the article’s assumptions.
The Brier score is the mean squared error between a stated probability and the binary outcome (1 if it happened, 0 if it did not): . where is the forecaster’s stated probability on question i and \{0,1\} is the realized outcome. Lower is better; a perfectly calibrated coin-flip forecaster scores 0.25 on a 50/50 question, and a forecaster who says 100 percent and is wrong scores the maximum possible 1.0.