DataGen: a generator of datasets for evaluation of classification algorithms
作者： Dmitri A Rachkovskij , Ernst M Kussul , None
DOI: 10.1016/S0167-8655(98)00053-1
关键词:
摘要: Dataset generators are useful for the evaluation of an algorithm's performance because they allow control characteristics and amount data used benchmarking. We propose a dataset generator called DataGen that allows varying number input features output classes, complexity realizations class regions, distributions samples, noise level, samples. A C language listing basic version is provided.
elsevier.com
sci-hub.se 参考文章(5)
Lutz Prechelt, PROBEN 1 - a set of benchmarks and benchmarking rules for neural network training algorithms ,(1994)
David E. Rumelhart, James L. McClelland, , Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations Computational Models of Cognition and Perception. ,(1986) , 10.7551/MITPRESS/5236.001.0001
Lutz Prechelt, A quantitative study of experimental evaluations of neural network learning algorithms: current research practice Neural Networks. ,vol. 9, pp. 457- 462 ,(1996) , 10.1016/0893-6080(95)00123-9
C. L. Blake, UCI Repository of machine learning databases www.ics.uci.edu/〜mlearn/MLRepository.html. ,(1998)
Peter E. Hart, Richard O. Duda, Pattern classification and scene analysis A Wiley-Interscience Publication. ,(1973)