GET_optROCcutoff: Compute optimal cutoff for classification

In pmesperanca/mlevcm: ML-based Epidemiological Vector Control Monitoring using FDA techniques for NIRS data

Description

Compute the optimal probability cutoff for classification.

Usage

GET_optROCcutoff(pred, perf, costs = NULL)

Arguments

pred	An object of class prediction generated with prediction.
perf	An object of class performance generated with performance.
costs	A named list with elements cost_fp and cost_fn giving the weights associated with false positives and false negatives, respectively.

pmesperanca/mlevcm documentation built on March 17, 2021, 10:03 p.m.