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scoringutils (version 2.1.0)

get_metrics.forecast_binary: Get default metrics for binary forecasts

Description

For binary forecasts, the default scoring rules are:

  • "brier_score" = brier_score()

  • "log_score" = logs_binary()

Usage

# S3 method for forecast_binary
get_metrics(x, select = NULL, exclude = NULL, ...)

Value

A list of scoring functions.

Arguments

x

A forecast object (a validated data.table with predicted and observed values, see as_forecast_binary()).

select

A character vector of scoring rules to select from the list. If select is NULL (the default), all possible scoring rules are returned.

exclude

A character vector of scoring rules to exclude from the list. If select is not NULL, this argument is ignored.

...

unused

Input format

Overview of required input format for binary and point forecasts

See Also

Other get_metrics functions: get_metrics(), get_metrics.forecast_nominal(), get_metrics.forecast_ordinal(), get_metrics.forecast_point(), get_metrics.forecast_quantile(), get_metrics.forecast_sample(), get_metrics.scores()

Examples

Run this code
get_metrics(example_binary)
get_metrics(example_binary, select = "brier_score")
get_metrics(example_binary, exclude = "log_score")

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