logloss {socceR}

Computes the log loss score for a tournament prediction

Description

Compute the (weighted) rank probability score for a tournament.

Usage

logloss(m, outcome, rankweights = 1L)

Arguments

m

An R*T prediction matrix where the R rows represent the ordered ranks and each column is a team. Each column should sum to 1, and each row should sum to the number of teams that can attain a given rank.

outcome

A vector of length T containing the integers 1 to R giving the ranks that were obtained by each of the T teams

rankweights

A vector of length R of rank weights or a single weight which will be reused for all ranks (defaults to 1)

Value

The rank probability score. Zero means a perfect score.

Author(s)

Claus Ekstrom <[e-mail]>

Examples

m1 <- matrix(c(1, 0, 0, 0, 0, 1, 0, 0, 0, 0, .5, .5, 0, 0, .5, .5), 4)
m1 # Prediction where certain on the top ranks
logloss(m1, c(1, 2, 3, 4))