fbeta_score {Metrics} | R Documentation |
F-beta Score
Description
fbeta_score
computes a weighted harmonic mean of Precision and Recall.
The beta
parameter controls the weighting.
Usage
fbeta_score(actual, predicted, beta = 1)
Arguments
actual |
The ground truth binary numeric vector containing 1 for the positive class and 0 for the negative class. |
predicted |
The predicted binary numeric vector containing 1 for the positive
class and 0 for the negative class. Each element represents the
prediction for the corresponding element in |
beta |
A non-negative real number controlling how close the F-beta score is to
either Precision or Recall. When |
See Also
Examples
actual <- c(1, 1, 1, 0, 0, 0)
predicted <- c(1, 0, 1, 1, 1, 1)
recall(actual, predicted)
[Package Metrics version 0.1.4 Index]