DataGen: a generator of datasets for evaluation of classification algorithms

被引：13

作者：

Rachkovskij, DA ^{[1
]}

Kussul, EM ^{[1
]}

机构：

[1] Ukrainian Acad Sci, Cybernet Ctr, UA-252650 Kiev, Ukraine

来源：

PATTERN RECOGNITION LETTERS | 1998年 / 19卷 / 07期

关键词：

benchmarking; evaluation; classification; supervised learning; datasets; data generator; synthetic data;

D O I：

10.1016/S0167-8655(98)00053-1

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Dataset generators are useful for the evaluation of an algorithm's performance because they allow control of the characteristics and amount of data used for benchmarking. We propose a dataset generator called DataGen that allows varying the number of input features and output classes, the complexity and realizations of class regions, the distributions of data samples, the noise level, the number of data samples. A C language listing of basic DataCen version is provided. (C) 1998 Published by Elsevier Science B.V. All rights reserved.

引用

页码：537 / 544

页数：8

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