Runtime and memory consumption analyses for machine learning R programs

DOI10.1080/00949655.2014.925192zbMath1457.62020OpenAlexW2042670859MaRDI QIDQ5220699

Helena Kotthaus, Peter Marwedel, Michel Lang, Bernd Bischl, Ingo Korb, Jörg Rahnenführer

Publication date: 27 March 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2014.925192

zbMATH Keywords

machine learningclassification algorithmsprofilingperformance analyses

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Proceedings of Reisensburg 2013

Uses Software

• R
• LISP-STAT
• MaJIC
• UCI-ml
• MASS (R)
• kknn
• rpart
• Kernlab
• e1071
• gbm
• ada
• klaR
• randomForest
• mlr
• PyPy
• Riposte
• Renjin
• pqR
• GitHub
• Rincanter
• traceR

Cites Work

• Statistical Analysis of Financial Data in S-Plus
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