confusion.matrix.f1.score.simple: Confusion Matrix Measures - F1 Score
In burrm/lolcat: Miscellaneous Useful Functions

Calculate F1 Score, defined as 2*TP / (2*TP+FP+FN), for a given confusion matrix.

confusion.matrix.f1.score.simple(
  true.positive = 1,
  false.positive = 0,
  false.negative = 0
)

`true.positive`	Scalar - Cases identified as true positive
`false.positive`	Scalar - Cases identified as false positive
`false.negative`	Scalar - Cases identified as false negative

A scalar with computed value.

burrm/lolcat documentation built on Oct. 13, 2021, 11:35 p.m.

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