MeasureClassifFScore: F-score Classification Measure

In mllg/mlr3: Machine Learning in R - Next Generation

Description

Calls Metrics::fbeta_score(). Argument beta defaults to 1.

Format

R6::R6Class() inheriting from MeasureClassif.

Construction

MeasureClassifFScore$new(beta = 1)
mlr_measures$get("classif.f_score")
msr("classif.f_score")

• beta :: numeric(1)
  Non-negative parameter balancing precision and recall. Passed down to Metrics::fbeta_score()

References

Sasaki, Yutaka (2007). The truth of the F-measure. Teach Tutor mater 1.5: 1-5. https://www.cs.odu.edu/~mukka/cs795sum09dm/Lecturenotes/Day3/F-measure-YS-26Oct07.pdf

See Also

Dictionary of Measures: mlr_measures

mllg/mlr3 documentation built on Sept. 27, 2019, 9:38 a.m.