Inducing non-orthogonal and non-linear decision boundaries in decision trees via interactive basis functions
作者：
Highlights：
• A novel modeling strategy for Decision Trees is proposed.
• Interactive basis functions induce oblique and non-linear decision boundaries.
• Benchmarking shows potential gains in accuracy and/or parsimony of models.
• Empirical examples illustrate the application of the modeling strategy.
• Decision charts are introduced to improve the interpretability of models.
摘要
•A novel modeling strategy for Decision Trees is proposed.•Interactive basis functions induce oblique and non-linear decision boundaries.•Benchmarking shows potential gains in accuracy and/or parsimony of models.•Empirical examples illustrate the application of the modeling strategy.•Decision charts are introduced to improve the interpretability of models.
论文关键词：Decision trees,Oblique partitions,Non-linear partitions,Interactive basis functions,Classification,Regression
论文评审过程：Received 15 August 2018, Revised 20 December 2018, Accepted 21 December 2018, Available online 28 December 2018, Version of Record 8 January 2019.
论文官网地址：https://doi.org/10.1016/j.eswa.2018.12.041
