• Corpus ID: 53039735

Preprocessor Selection for Machine Learning Pipelines

@article{Schoenfeld2018PreprocessorSF,
  title={Preprocessor Selection for Machine Learning Pipelines},
  author={Brandon Schoenfeld and Christophe G. Giraud-Carrier and Mason Poggemann and Jarom Christensen and Kevin D. Seppi},
  journal={ArXiv},
  year={2018},
  volume={abs/1810.09942}
}
Much of the work in metalearning has focused on classifier selection, combined more recently with hyperparameter optimization, with little concern for data preprocessing. Yet, it is generally well accepted that machine learning applications require not only model building, but also data preprocessing. In other words, practical solutions consist of pipelines of machine learning operators rather than single algorithms. Interestingly, our experiments suggest that, on average, data preprocessing… 

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