confusion.matrix.accuracy.simple: Confusion Matrix Measures - Accuracy

In burrm/lolcat: Miscellaneous Useful Functions

Confusion Matrix Measures - Accuracy

Description

Calculate Accuracy, defined as (TP+TN)/(P+N), for a given confusion matrix.

Usage

confusion.matrix.accuracy(confusion.matrix)

confusion.matrix.accuracy.simple(
  true.positive = 0,
  false.positive = 0,
  true.negative = 1,
  false.negative = 0,
  count.positive = true.positive + false.negative,
  count.negative = true.negative + false.positive
)

Arguments

confusion.matrix	Matrix - confusion matrix.
true.positive	Scalar - Cases identified as true positive
false.positive	Scalar - Cases identified as false positive - optional if count.positive is used
true.negative	Scalar - Cases identified as true negative
false.negative	Scalar - Cases identified as false negative - optional if count.negative is used
count.positive	Scalar - Total cases identified as positive - optional if first four parameters are used.
count.negative	Scalar - Total cases identified as negative - optional if first four parameters are used.

Value

A scalar with computed accuracy value.

burrm/lolcat documentation built on Sept. 15, 2023, 11:35 a.m.