CalcOneAucVal: CalcOneAucVal

In wlktan/surrogateSampling: Functions to conduct surrogate guided sampling designs

Description

Runs a K-fold cross-validation with weighted bootstrap to approximate training/testing error from an annotated dataset

Usage

CalcOneAucVal(test.df, n_val, stratify_val, nz1, nz0, nlp.model)

Arguments

test.df	Initial test df
n_val	Number of validation samples
nz1	Number of z=1 in the weighted bootstrap sample
nz0	Number of z=0 in the weighted bootstrap sample
nlp.model	The fitted model
stratify_var	Surrogate name in quo(.)

Value

Estimated value of validation AUC based on a single weighted bootstrap sample

wlktan/surrogateSampling documentation built on May 23, 2019, 3:07 p.m.