快速可解读的贪树总和

Yan Shuo Tan1, Chandan Singh2,3, Keyan Nasseri2

  • 1Department of Statistics and Data Science, National University of Singapore, Singapore 119077, Republic of Singapore.

概括

快速可解释的贪树总和 (FIGS) 通过总结决策树来提高机器学习的解释性,适应附加结构以获得更好的预测. 这种方法,特别是G-FIGS,在不牺牲准确性或理解性的情况下改进了临床决策工具.

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