davidavdav/ROC: Compute structures to compute ROC and DET plots and metrics for 2-class classifiers.
Version 0.11

This package contains a set of routines that can compute various performance measures related to Receiver Operating Characteristic curves, including NIST style speaker recognition evaluation system output. The routines in this package allow - General ROC related: -- computing essential ROC statistics -- calculation of EER, minCllr and Cllr -- plotting of ROC curves -- computing the optimal score-to-log-lihelihood-ratie mapping - NIST SRE related: -- trial key info for SRE 2006, 2008 and EVALITA 2009 -- flexible plotting of DET curves -- adding legends to the plot in the order of the EER -- plotting Applied Probability of Error (APE)-plots, with proper legend -- plotting of Normalized Bayes Error rate (NBE) plots -- merging of meta-information to the scores, and manipulation of these tables -- conditioning trials on meta-information -- weighting trials based on a chosen conditioning, before calculation of DET parameters and performance metrics. -- tippet plot -- normalized Bayes error rate plot

Getting started

Package details

AuthorDavid A. van Leeuwen
Maintainer<[email protected]>
LicenseGPL-2
Version0.11
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("davidavdav/ROC")
davidavdav/ROC documentation built on May 12, 2017, 7:47 p.m.