Credit scoring with boosted decision trees

  title={Credit scoring with boosted decision trees},
  author={Joao CEMAPRE},
  • Joao CEMAPRE
  • Published 2008
The enormous growth experienced by the credit industry has led researchers to develop sophisticated credit scoring models that help lenders decide whether to grant or reject credit to applicants. This paper proposes a credit scoring model based on boosted decision trees, a powerful learning technique that aggregates several decision trees to form a classifier given by a weighted majority vote of classifications predicted by individual decision trees. The performance of boosted decision trees is… CONTINUE READING
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