Statistical Comparisons by Means of Non-Parametric Tests: A Case Study on Genetic Based Machine Learning
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چکیده
The experimental analysis on the performance of a proposed method is a crucial and necessary task to carry out in a research. This paper is focused on the statistical analysis of the results in the community of Genetic Based Machine Learning. Specifically, a non-parametric analysis can be performed by using the average results obtained for each data set as sample, which supposes in a simpler analysis. We use the wellknown non-parametric statistical tests which can be employed and we propose the use of the most powerful statistical techniques to perform multiple comparisons among more than two algorithms.
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تاریخ انتشار 2007