Corpus ID: 198967958

A comparison of Deep Learning performances with others machine learning algorithms on credit scoring unbalanced data

@article{Marceau2019ACO,
  title={A comparison of Deep Learning performances with others machine learning algorithms on credit scoring unbalanced data},
  author={Louis Marceau and Lingling Qiu and Nick M. Vandewiele and Eric Charton},
  journal={ArXiv},
  year={2019},
  volume={abs/1907.12363}
}
  • Louis Marceau, Lingling Qiu, +1 author Eric Charton
  • Published in ArXiv 2019
  • Mathematics, Computer Science
  • Training models on highly unbalanced data is admitted to be a challenging task for machine learning algorithms. Current studies on deep learning mainly focus on data sets with balanced class labels, or unbalanced data but with massive amount of samples available, like in speech recognition. However, the capacities of deep learning on imbalanced data with little samples is not deeply investigated in literature, while it is a very common application context, in numerous industries. To contribute… CONTINUE READING

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