An Overview of General Performance Metrics of Binary Classifier Systems
Sebastian Raschka
TL;DR
This paper reviews various metrics and terminology used to evaluate the performance of binary classifier systems, providing a comprehensive overview for researchers and practitioners.
Contribution
It offers a summarized overview of performance metrics and terminology specific to binary classification systems, aiding understanding and comparison.
Findings
Summarizes key performance metrics for binary classifiers
Clarifies terminology used in binary classification evaluation
Facilitates better understanding of classifier performance assessment
Abstract
This document provides a brief overview of different metrics and terminology that is used to measure the performance of binary classification systems.
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Taxonomy
TopicsImbalanced Data Classification Techniques · Anomaly Detection Techniques and Applications · Machine Learning and Data Classification