Meta-learning Approach for Automatic Parameter Tuning: A case of study with educational datasets

Abstract

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. Then, the… (More)

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@inproceedings{Molina2012MetalearningAF, title={Meta-learning Approach for Automatic Parameter Tuning: A case of study with educational datasets}, author={Mar{\'i}a De Mar Molina and Crist{\'o}bal Romero and Sebasti{\'a}n Ventura and Jos{\'e} Mar{\'i}a Luna}, booktitle={EDM}, year={2012} }