OptionalaverageAggregation strategy across classes. Ignored when positiveLabel is set
(or auto-detected).
OptionalbetaWeight of recall relative to precision in the F-score. Must be > 0.
OptionalpositiveWhen set, compute binary precision/recall/F exclusively for this label
(one-vs-rest). If not set, average is at its default "macro", and
the labels are the numeric set {0, 1}, the positive label defaults to
1. Otherwise, multi-class averaging is used. The auto-detection is
skipped whenever a non-default average is configured, so an explicit
average is never silently overridden by the shape of the data.
OptionalzeroValue substituted for a metric when it is undefined (e.g. 0/0).
Options shared by precision, recall, and F-score computations.