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

@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}
}
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 new metadataset was used to predict the classification accuracy on the basis of the value parameters and some characteristics of the… CONTINUE READING

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Parameter tuning for classification algorithms in data mining using meta learning

  • O. Maimon, L. Rokach, I. Edel
  • 13th Israeli Conference of Industrial Engineering…
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