PerfMeas-package: Performance Measures for Ranking and Classification Tasks

PerfMeas-packageR Documentation

Performance Measures for Ranking and Classification Tasks

Description

Metrics for ranking and classification tasks: Area Under the Receiving Operating Characteristic Curve (AUROC), Area Under the Precision and Recall Curve (AUPRC), F-scores, and precision at given recall level are implemented.

Details

Package: PerfMeas
Type: Package
Version: 1.2.5
Date: 2022-09-09
License: GPL (>= 2)
LazyLoad: yes

This package implements a set of functions to estimate the AUC, F-score, precision, recall, specificity, accuracy according to the 0/1 loss, and precision at given recall level for ranking and classification problems.

Functions to compute the above measures for single classes or for sets of classes are provided.

Author(s)

Giorgio Valentini

DI, Dipartimento di Informatica

Universita' degli Studi di Milano

{valentini}@di.unimi.it

Maintainer: Giorgio Valentini


PerfMeas documentation built on Sept. 14, 2022, 9:06 a.m.