Feature selection based on a normalized difference measure for text classification

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• 作者：Abdur Rehman ; ^a ; ^b ; ^{a.rehman@uog.edu.pk} ; Kashif Javed^c ; ^{kashif.javed@uet.edu.pk} ; Haroon A. Babri^c ; ^{babri@uet.edu.pk}
• 关键词：Text classification ; Feature selection ; Accuracy measure ; Document frequency
• 刊名：Information Processing & Management
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：53
• 期：2
• 页码：473-489
• 全文大小：2882 K
• 卷排序：53

文摘

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.