Feature selection based on a normalized difference measure for text classification

作者：

Highlights：

• We analyzed Balanced Accuracy (ACC2)feature ranking metrics and identified its draw backs.

• We proposed to normalize Balanced Accuracy by minimum of tpr and fpr values.

• We compared results of proposed feature ranking metric with seven well known feature ranking metrics on seven datasets.

• Newly proposed metric outperforms in more than 60% cases of our experimental trials.

摘要

•We analyzed Balanced Accuracy (ACC2)feature ranking metrics and identified its draw backs.•We proposed to normalize Balanced Accuracy by minimum of tpr and fpr values.•We compared results of proposed feature ranking metric with seven well known feature ranking metrics on seven datasets.•Newly proposed metric outperforms in more than 60% cases of our experimental trials.

论文关键词：Text classification,Feature selection,Accuracy measure,Document frequency

论文评审过程：Received 13 November 2015, Revised 25 October 2016, Accepted 14 December 2016, Available online 27 December 2016, Version of Record 27 December 2016.

论文官网地址：https://doi.org/10.1016/j.ipm.2016.12.004