Decision tree underfitting in mining of gene expression data. An evolutionary multi-test tree approach

作者：

Highlights：

• A new multi-test decision tree classifier tailored to gene expression data.

• Evolutionary approach for reducing underfitting in decision tree inducers.

• Gene cluster based tests outperform univariate tests in splitting nodes.

摘要

•A new multi-test decision tree classifier tailored to gene expression data.•Evolutionary approach for reducing underfitting in decision tree inducers.•Gene cluster based tests outperform univariate tests in splitting nodes.

论文关键词：Data mining,Evolutionary algorithms,Decision trees,Underfitting,Gene expression data

论文评审过程：Received 23 January 2019, Revised 28 June 2019, Accepted 9 July 2019, Available online 10 July 2019, Version of Record 13 July 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.07.019