ebc_TPR: Derived measures.

In evabic: Evaluation of Binary Classifiers

Derived measures.

Description

Measures derived from confusion matrix.

Usage

ebc_TPR(detected, true)

ebc_TNR(detected, true, all, m = length(all))

ebc_PPV(detected, true)

ebc_NPV(detected, true, all, m = length(all))

ebc_FNR(detected, true)

ebc_FPR(detected, true, all, m = length(all))

ebc_FDR(detected, true)

ebc_FOR(detected, true, all, m = length(all))

ebc_ACC(detected, true, all, m = length(all))

ebc_BACC(detected, true, all, m = length(all))

ebc_F1(detected, true)

ebc_PLR(detected, true, all, m = length(all))

ebc_NLR(detected, true, all, m = length(all))

ebc_DOR(detected, true, all, m = length(all))

Arguments

detected	Vector of elements that are detected.
true	Vector of element that are supposed to be detected.
all	Vector of all elements.
m	Total number of elements.

Details

See ebc_allmeasures for the description of the measures.

Value

A numeric.

See Also

ebc_TP, ebc_tidy, ebc_allmeasures

Examples

ebc_TPR(detected = c("A", "C", "D"), true = c("A", "B", "C"))
ebc_ACC(detected = c("A", "C", "D"), true = c("A", "B", "C"),
        all = LETTERS[1:5])

evabic documentation built on Aug. 17, 2022, 9:06 a.m.