# An Overview of General Performance Metrics of Binary Classifier Systems

arXiv: https://arxiv.org/abs/1410.5330 · HTML: https://mlsanity.com/paper/1410.5330/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 17 Oct 2014.

## Built on by (most cited first, 3 of 3)

- [A Practical Guide to Sample-based Statistical Distances for Evaluating Generative Models in Science](https://mlsanity.com/paper/2403.12636/) (2024)
- [MM-DAG: Multi-task DAG Learning for Multi-modal Data -- with Application for Traffic Congestion Analysis](https://mlsanity.com/paper/2306.02831/) (2023)
- [RecSys Challenge 2023: From data preparation to prediction, a simple, efficient, robust and scalable solution](https://mlsanity.com/paper/2401.06830/) (2024)

## Abstract (arXiv)

This document provides a brief overview of different metrics and terminology that is used to measure the performance of binary classification systems.