confusion.matrix.true.positive.rate.simple: Confusion Matrix Measures - True Positive Rate

View source: R/confusion.matrix.true.positive.rate.simple.R

confusion.matrix.true.positive.rateR Documentation

Confusion Matrix Measures - True Positive Rate

Description

Calculate True Positive Rate, defined as TP/P, for a given confusion matrix. True positive rate is also sometimes called sensitivity, recall, and hit rate.

Usage

confusion.matrix.true.positive.rate(confusion.matrix)

confusion.matrix.sensitivity(confusion.matrix)

confusion.matrix.recall(confusion.matrix)

confusion.matrix.hit.rate(confusion.matrix)

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

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

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

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

Arguments

confusion.matrix

Matrix - confusion matrix.

true.positive

Scalar - Cases identified as true positive

false.negative

Scalar - Cases identified as false negative - optional if count.positive specified

count.positive

Scalar - Total cases identified as positive - optional if false.negative specified.

Value

A scalar with computed value.


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