Guckelsberger, Christian ; Schulz, Axel (2015)
STATSREP-ML: Statistical Evaluation & Reporting Framework for Machine Learning Results.
Report, Primary publication
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| Item Type: | Report |
|---|---|
| Type of entry: | Primary publication |
| Title: | STATSREP-ML: Statistical Evaluation & Reporting Framework for Machine Learning Results |
| Language: | English |
| Date: | 5 January 2015 |
| Place of Publication: | Darmstadt, Germany |
| Series: | Technical Report |
| Series Volume: | TUD-CS-2015-0027 |
| Corresponding Links: | |
| Abstract: | In this report, we present STATSREP-ML, which is an open-source solution for automating the process of evaluating machine-learning results. It calculates qualitative statistics, performs the appropriate tests and reports them in a comprehensive way. It largely, but not exclusively, relies on well-tested and robust statistics implementations in R, and uses the tests the machine-learning community largely agreed upon. |
| Uncontrolled Keywords: | Machine Learning, Statistics, Evaluation |
| URN: | urn:nbn:de:tuda-tuprints-42940 |
| Classification DDC: | 000 Generalities, computers, information > 004 Computer science 500 Science and mathematics > 510 Mathematics 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering |
| Divisions: | 20 Department of Computer Science > Telecooperation |
| Date Deposited: | 05 Jan 2015 10:07 |
| Last Modified: | 24 Oct 2023 11:20 |
| URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/4294 |
| PPN: | 38682102X |
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