The Usefulness of Relief Feature Selection Method in Auditors' Opinion Type Prediction

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VALIPOUR HASHEM; Kazemnejad Mostafa; REZAEI GHOLAMREZA

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Paper Information

Journal: JOURNAL OF ACCOUNTING KNOWLEDGE AND MANAGEMENT AUDITING Year:2017 | Volume:6 | Issue:21 Page(s): 109-120

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Title

The Usefulness of Relief Feature Selection Method in Auditors' Opinion Type Prediction

Author(s)

VALIPOUR HASHEM | Kazemnejad Mostafa | REZAEI GHOLAMREZA | Issue Writer Certificate

Keywords

Auditors' Opinion Type PredictionQ1

Relief Feature Selection MethodQ1

Support vector machineQ2

Logistic regressionQ2

Abstract

Accomplished researches in auditor's opinion type prediction emphasize the design of more sophisticated classifiers, and less feature (variables) selection and their appropriate methods. The Purpose of this research is investigating the usefulness of relief method in Auditors' Opinion Type Prediction of companies listed on Tehran Stock Exchange. To obtain comparable experimental results, Support vector machine (SVM) and Logistic regression were used in this study. In overall, the experimental results of investigating 1214 firms-years in 2008 to 2015, confirmed the usefulness and positive effects of relief Method in predicting auditors opinion type. In other words, the application of this feature selection method, increases the mean of accuracy, and reduces the occurrence of type I and type II errors. Furthermore, the results indicated that SVM outperforms the Logistic regression.

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APA: Copy

VALIPOUR, HASHEM, Kazemnejad, Mostafa, & REZAEI, GHOLAMREZA. (2017). The Usefulness of Relief Feature Selection Method in Auditors' Opinion Type Prediction. JOURNAL OF ACCOUNTING KNOWLEDGE AND MANAGEMENT AUDITING, 6(21 ), 109-120. SID. https://sid.ir/paper/237974/en

Vancouver: Copy

VALIPOUR HASHEM, Kazemnejad Mostafa, REZAEI GHOLAMREZA. The Usefulness of Relief Feature Selection Method in Auditors' Opinion Type Prediction. JOURNAL OF ACCOUNTING KNOWLEDGE AND MANAGEMENT AUDITING[Internet]. 2017;6(21 ):109-120. Available from: https://sid.ir/paper/237974/en

IEEE: Copy

HASHEM VALIPOUR, Mostafa Kazemnejad, and GHOLAMREZA REZAEI, “The Usefulness of Relief Feature Selection Method in Auditors' Opinion Type Prediction,” JOURNAL OF ACCOUNTING KNOWLEDGE AND MANAGEMENT AUDITING, vol. 6, no. 21 , pp. 109–120, 2017, [Online]. Available: https://sid.ir/paper/237974/en

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