A Recursive General Regression Neural Network (R-GRNN) Oracle for classification problems

作者：

Highlights：

• This paper proposes the Recursive General Regression Neural Network Oracle.

• The algorithm was compared to several other classifiers.

• It had the highest performance metrics such as accuracy and area under the curve.

• The algorithm had also bested the literature in the performance metrics.

摘要

•This paper proposes the Recursive General Regression Neural Network Oracle.•The algorithm was compared to several other classifiers.•It had the highest performance metrics such as accuracy and area under the curve.•The algorithm had also bested the literature in the performance metrics.

论文关键词：GRNN Oracle,Data Mining, Machine Learning,Classification,Ensemble,Prediction Model

论文评审过程：Received 20 October 2018, Revised 17 May 2019, Accepted 6 June 2019, Available online 8 June 2019, Version of Record 14 June 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.06.018