Saturday, March 26, 2011

How to do comparisons between machine learning schemes

Nice paper comparing 16 model selection and weighting schemes. Includes 58 benchmark datasets. The data analysis was done in the following way - for each dataset, rank the schemes. Then average the ranks. - use the Friedman test to test whether ranks are all equal ( - if ranks are not all equal, use the Nemenyi test (covered in papers by Demsar, Garcia et al  http://jmlr.csail.mit.edu/papers/volume9/garcia08a/ Ying Yang, Geoffrey I. Webb, Jesús Cerquides, Kevin B. Korb, Janice R. Boughton, Kai Ming Ting: To Select or To Weigh: A Comparative Study of Linear Combination Schemes for SuperParent-One-Dependence Estimators. IEEE Trans. Knowl. Data Eng. 19(12): 1652-1665 (2007), ISSN: 1041-4347 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.134.8561

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