Measuring the Uncertainty of Differences for Contrasting Groups

Jilian Zhang, Shichao Zhang, Xiaofeng Zhu, Xindong Wu, Chengqi Zhang

In this paper, we propose an empirical likelihood (EL) based strategy for building confidence intervals for differences between two contrasting groups. The proposed method can deal with the situations when we know little prior knowledge about the two groups, which are referred to as non-parametric situations. We experimentally evaluate our method on UCI datasets and observe that proposed EL based method outperforms other methods.

Subjects: 12. Machine Learning and Discovery; 12. Machine Learning and Discovery

Submitted: Apr 1, 2007

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