Building acceptable classification models for financial engineering applications: thesis summary

@article{Martens2008BuildingAC,
  title={Building acceptable classification models for financial engineering applications: thesis summary},
  author={David Martens},
  journal={SIGKDD Explorations},
  year={2008},
  volume={10},
  pages={30-31}
}
Classification is a popular data mining task, where the value of a discrete (dependent) variable is predicted, based on the values of several independent variables. In this research, we investigate how predictive classification models can be inferred from the available data. The classification models are required to make good predictions, and be comprehensible and intuitive. The aspect of humanly understandable and intuitive models is of crucial importance in any domain where the model needs to… CONTINUE READING

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