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 |
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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 Allgemeines, Informatik, Informationswissenschaft > 004 Informatik 500 Naturwissenschaften und Mathematik > 510 Mathematik 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau |
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 |
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