gettptnfpfn-defunct: Get number of TP, FP, TN and FN
In ROCit: Performance Assessment of Binary Classifier with Visualization

Description Usage Arguments Details Value See Also

Function gettptnfpfn calculates the number of true positive (TP), false positive (FP), true negative (TN) and false negative (FN), if certain depth of the observations are treated as positive. Generally it applies to the observations that are rank-ordered with respect to some diagnostic score.

1	gettptnfpfn(x, depth, npos = sum(x), nneg = length(x) - npos)

`x`	A response vector, consisting of only 1's and 0's.
`depth`	Depth, up to which the positive predictions are made.
`npos`	Number of positive responses.
`nneg`	Number of negative responses.

Function gettptnfpfn calculates the number of TP, FP, TN, FN at specified depth. This is designed for numeric 1/0 coding of the responses. Usually it applies to the observations, which are rank-ordered with respect to some diagnostic score.

A numeric vector of length 4 indicating number of TP , FP, TN, FN, respectively.

ROCit-defunct

ROCit documentation built on July 1, 2020, 11:28 p.m.