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Molina, M. M.; Luna, J. M.; Romero, C.; Ventura, S. – International Educational Data Mining Society, 2012
This paper proposes to the use of a meta-learning approach for automatic parameter tuning of a well-known decision tree algorithm by using past information about algorithm executions. Fourteen educational datasets were analysed using various combinations of parameter values to examine the effects of the parameter values on accuracy classification.…
Descriptors: Case Studies, Mathematics, Data Analysis, Accuracy


