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cff-version: 1.2.0
message: "If you use this software, please cite it as below."
title: "pycm"
abstract: "PyCM is a multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most classes and overall statistics parameters. PyCM is the swiss-army knife of confusion matrices, targeted mainly at data scientists that need a broad array of metrics for predictive models and accurate evaluation of a large variety of classifiers."
authors:
- family-names: "Haghighi"
given-names: "Sepand"
- family-names: "Zolanvari"
given-names: "Alireza"
- family-names: "Sabouri"
given-names: "Sadra"
version: 3.3
date-released: 2021-10-27
repository-code: "https://github.com/sepandhaghighi/pycm"
url: "https://www.pycm.io"
license: MIT
keywords:
- "confusion matrix"
- "python"
- "F-score"
- "Accuracy"
preferred-citation:
type: article
authors:
- family-names: "Haghighi"
given-names: "Sepand"
orcid: "https://orcid.org/0000-0001-9450-2375"
- family-names: "Jasemi"
given-names: "Masoomeh"
orcid: "https://orcid.org/0000-0002-4831-1698"
- family-names: "Hessabi"
given-names: "Shaahin"
orcid: "https://orcid.org/0000-0003-3193-2567"
- family-names: "Zolanvari"
given-names: "Alireza"
orcid: "https://orcid.org/0000-0003-2367-8343"
doi: "10.21105/joss.00729"
journal: "Journal of Open Source Software"
month: 5
start: 729 # First page number
end: 729 # Last page number
title: "PyCM: Multiclass confusion matrix library in Python"
issue: 25
volume: 3
year: 2018
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