logs_categorical {scoringutils} | R Documentation |
Log score for categorical outcomes
Description
Log score for categorical (nominal or ordinal) outcomes
The Log Score is the negative logarithm of the probability assigned to the observed value. It is a proper scoring rule. Small values are better (best is zero, worst is infinity).
Usage
logs_categorical(observed, predicted, predicted_label)
Arguments
observed |
Factor of length n with N levels holding the observed values. |
predicted |
nxN matrix of predictive probabilities, n (number of rows) being the number of observations and N (number of columns) the number of possible outcomes. |
predicted_label |
Factor of length N, denoting the outcome
that the probabilities in |
Value
A numeric vector of size n with log scores
Input format
Overview of required input format for nominal forecasts
See Also
Other log score functions:
logs_sample()
,
scoring-functions-binary
Examples
factor_levels <- c("one", "two", "three")
predicted_label <- factor(c("one", "two", "three"), levels = factor_levels)
observed <- factor(c("one", "three", "two"), levels = factor_levels)
predicted <- matrix(
c(0.8, 0.1, 0.1,
0.1, 0.2, 0.7,
0.4, 0.4, 0.2),
nrow = 3,
byrow = TRUE
)
logs_categorical(observed, predicted, predicted_label)
[Package scoringutils version 2.1.1 Index]