Learning comprehensible and accurate hybrid trees

作者：

Highlights：

• A study on learning comprehensible and accurate hybrid trees.

• Hybrid trees – a combination of comprehensible and black-box classifieirs.

• A novel algorithm evaluated on 23 UCI datasets.

• The algorithm provides trade-off between accuracy and comprehensibility.

• The algorithm generates hybrid-trees faster that a baseline search algorithm.

摘要

•A study on learning comprehensible and accurate hybrid trees.•Hybrid trees – a combination of comprehensible and black-box classifieirs.•A novel algorithm evaluated on 23 UCI datasets.•The algorithm provides trade-off between accuracy and comprehensibility.•The algorithm generates hybrid-trees faster that a baseline search algorithm.

论文关键词：Hybrid tree,Multi-objective learning,Comprehensibility,Accuracy,Classification

论文评审过程：Received 13 May 2020, Revised 16 August 2020, Accepted 7 September 2020, Available online 16 September 2020, Version of Record 24 September 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113980