getErrorMeasures-methods: Calculate Error Measures
Description
Computes various error measures for the classification of a data set.Value
- A list with components
alpha
, beta
, accuracy
,
precision
, sensitivity
, specificity
, ppv
and
npv
, each a number in the range $[0,1]$.
Details
Let $\mathit{TP}$ be the number of correctly classified matches
(true positives), $\mathit{TN}$ the number of correctly classified
non-matches (true negatives), $\mathit{FP}$ and $\mathit{FN}$
the number of misclassified non-matches and matches
(false positives and false negatives). The calculated error measures are:
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]