benchmark

R package benchmark: Benchmark Experiments Toolbox. The benchmark package provides a toolbox for setup, execution and analysis of benchmark experiments. Main focus is the analysis of data accumulating during the execution – one primary objective is the statistical correct computation of the candidate algorithms’ order.

Keywords for this software

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References in zbMATH (referenced in 8 articles , 1 standard article )

Showing results 1 to 8 of 8.
Sorted by year (citations)

  1. Roy, Asim; Qureshi, Shiban; Pande, Kartikeya; Nair, Divitha; Gairola, Kartik; Jain, Pooja; Singh, Suraj; Sharma, Kirti; Jagadale, Akshay; Lin, Yi-Yang; Sharma, Shashank; Gotety, Ramya; Zhang, Yuexin; Tang, Ji; Mehta, Tejas; Sindhanuru, Hemanth; Okafor, Nonso; Das, Santak; Gopal, Chidambara N.; Rudraraju, Srinivasa B.; Kakarlapudi, Avinash V.: Performance comparison of machine learning platforms (2019)
  2. Eugster, Manuel J. A.; Leisch, Friedrich; Strobl, Carolin: (Psycho-)analysis of benchmark experiments: a formal framework for investigating the relationship between data sets and learning algorithms (2014)
  3. Filzmoser, Peter (ed.); Gatu, Cristian (ed.); Zeileis, Achim (ed.): Special issue on statistical algorithms and software in R (2014)
  4. Bischl, Bernd; Schiffner, Julia; Weihs, Claus: Benchmarking local classification methods (2013)
  5. Eugster, Manuel J. A.: Benchmark experiments. A tool for analyzing statistical learning algorithms. (2011)
  6. Eugster, Manuel J. A.; Leisch, Friedrich: Weighted and robust archetypal analysis (2011)
  7. Eugster, Manuel J. A.; Leisch, Friedrich: Exploratory analysis of benchmark experiments an interactive approach (2011)
  8. Wilhelm, Adalbert F. X. (ed.); Linsen, Lars (ed.): Special issue: Data viz VI (2011)