Citation Request

Please include these citations if you plan to use this library:

@article{Thieu_PerMetrics_A_Framework_2024,
        author = {Thieu, Nguyen Van},
        doi = {10.21105/joss.06143},
        journal = {Journal of Open Source Software},
        month = mar,
        number = {95},
        pages = {6143},
        title = {{PerMetrics: A Framework of Performance Metrics for Machine Learning Models}},
        url = {https://joss.theoj.org/papers/10.21105/joss.06143},
        volume = {9},
        year = {2024}
}

@article{van2023mealpy,
        title={MEALPY: An open-source library for latest meta-heuristic algorithms in Python},
        author={Van Thieu, Nguyen and Mirjalili, Seyedali},
        journal={Journal of Systems Architecture},
        year={2023},
        publisher={Elsevier},
        doi={10.1016/j.sysarc.2023.102871}
}

If you have an open-ended or a research question, you can contact me via nguyenthieu2102@gmail.com

Official Links

• Official source code repo: https://github.com/thieu1995/permetrics

• Official document: https://permetrics.readthedocs.io/

• Download releases: https://pypi.org/project/permetrics/

• Issue tracker: https://github.com/thieu1995/permetrics/issues

• Notable changes log: https://github.com/thieu1995/permetrics/blob/master/ChangeLog.md

• Official chat group: https://t.me/+fRVCJGuGJg1mNDg1

• This project also related to our another projects which are “optimization” and “machine learning”, check it here:

  • https://github.com/thieu1995/mealpy

  • https://github.com/thieu1995/metaheuristics

  • https://github.com/thieu1995/opfunu

  • https://github.com/thieu1995/enoppy

  • https://github.com/thieu1995/MetaCluster

  • https://github.com/thieu1995/pfevaluator

  • https://github.com/thieu1995/mafese

  • https://github.com/aiir-team

Reference Documents

1. https://publikationen.bibliothek.kit.edu/1000120412/79692380

2. https://danielyang1009.github.io/model-performance-measure/

3. https://lightning.ai/docs/torchmetrics/stable/all-metrics.html

4. http://rasbt.github.io/mlxtend/user_guide/evaluate/lift_score/

5. https://www.baeldung.com/cs/multi-class-f1-score

6. https://kavita-ganesan.com/how-to-compute-precision-and-recall-for-a-multi-class-classification-problem/#.YoXMSqhBy3A

7. https://machinelearningmastery.com/precision-recall-and-f-measure-for-imbalanced-classification/

License

The project is licensed under GNU General Public License (GPL) V3 license.