TECHNICAL REPORT
Machine Learning Quality
Evaluation and Improvement
ABOUT THE REPORTS
Technical Reports on Machine Learning Quality Evaluation and Improvement
These reports present surveys and research and development results on technologies for evaluating and improving machine learning quality, in support of the internal quality characteristics described in the Machine Learning Quality Management Guideline.
English editions
4thTechnical Report on Machine Learning Quality Evaluation and Improvement, 4th English Edition ↗August 1, 2024DigiARC-TR-2024-02 / CPSEC-TR-2024002 / AIRC Technical Report
2ndTechnical Report on Machine Learning Quality Evaluation and Improvement, 2nd English Edition ↗January 20, 2023DigiARC-TR-2023-02 / CPSEC-TR-2023002 / AIRC Technical Report
1stTechnical Report on Machine Learning Quality Evaluation and Improvement, 1st English Edition ↗February 4, 2022DigiARC-TR-2022-02 / CPSEC-TR-2022003 / AIRC Technical Report
Japanese editions
4th4th Japanese Edition ↗August 1, 2024 / DigiARC-TR-2024-01 / CPSEC-TR-2024001
3rd3rd Japanese Edition ↗December 12, 2023 / DigiARC-TR-2023-04 / CPSEC-TR-2023004
2nd2nd Japanese Edition ↗August 2, 2022 / DigiARC-TR-2022-06 / CPSEC-TR-2022007
1st1st Japanese Edition ↗July 5, 2021 / DigiARC-TR-2021-02 / CPSEC-TR-2021002