Guckelsberger, Christian ; Schulz, Axel (2014):
STATSREP-ML: Statistical Evaluation & Reporting Framework for Machine Learning Results.
In: Technical Report, TUD-CS-2015-0027, Darmstadt, Germany, ISSN 1864-0516,
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| Item Type: | Report |
|---|---|
| Title: | STATSREP-ML: Statistical Evaluation & Reporting Framework for Machine Learning Results |
| Language: | English |
| 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. |
| Series: | Technical Report |
| Series Volume: | TUD-CS-2015-0027 |
| Place of Publication: | Darmstadt, Germany |
| Uncontrolled Keywords: | Machine Learning, Statistics, Evaluation |
| Classification DDC: | 000 Allgemeines, Informatik, Informationswissenschaft > 004 Informatik 500 Naturwissenschaften und Mathematik > 510 Mathematik 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften |
| Divisions: | 20 Department of Computer Science > Telecooperation |
| Date Deposited: | 05 Jan 2015 10:07 |
| Last Modified: | 06 Jul 2016 06:13 |
| Corresponding Links: | |
| URN: | urn:nbn:de:tuda-tuprints-42940 |
| URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/4294 |
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