confusion.matrix.matthews.correlation.coefficient.simple: Confusion Matrix Measures - Matthews' Correlation Coefficient
In burrm/lolcat: Miscellaneous Useful Functions

View source: R/confusion.matrix.matthews.correlation.coefficient.simple.R

confusion.matrix.matthews.correlation.coefficient

R Documentation

Confusion Matrix Measures - Matthews' Correlation Coefficient

Description

Calculate Matthews' Correlation Coefficient, defined as (TP*TN - FP*FN)/sqrt((TP+FP)(TP+FN)(TN+FP)(TN+FN)), for a given confusion matrix.

Usage

confusion.matrix.matthews.correlation.coefficient(confusion.matrix)

cor.matthews(confusion.matrix)

confusion.matrix.matthews.correlation.coefficient.simple(
  true.positive = 1,
  false.positive = 1,
  true.negative = 1,
  false.negative = 1
)

cor.matthews.simple(
  true.positive = 1,
  false.positive = 1,
  true.negative = 1,
  false.negative = 1
)

Arguments

`confusion.matrix`	Matrix - confusion matrix.
`true.positive`	Scalar - Cases identified as true positive
`false.positive`	Scalar - Cases identified as false positive
`true.negative`	Scalar - Cases identified as true negative
`false.negative`	Scalar - Cases identified as false negative