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Arbres de classification construits à partir de fonctions de croyance

Abstract : Decision trees are popular classification methods. In paper, we extend to multi-class problems a decision tree method based on belief functions previously described for two-class problems only. We propose three possible extensions : combining multiple two-class trees together and directly extending the estimation of belief functions within the tree to the multi-class setting. We provide experiments, results and compare them to usual decision trees.
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Contributor : Nicolas Sutton-Charani <>
Submitted on : Thursday, November 15, 2018 - 10:48:25 AM
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N. Sutton-Charani - LFA 2012.p...
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Nicolas Sutton-Charani, Sébastien Destercke, Thierry Denoeux. Arbres de classification construits à partir de fonctions de croyance. Rencontres francophones sur la Logique Floue et ses Applications (LFA 2012), Nov 2012, Compiègne, France. ⟨hal-01923310⟩



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