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Road traffic accident datasets have large number of attributes with different data types and district values. As such applying information gain based decision tree data mining algorithms would not give good accuracy which may affect hidden patterns or useful knowledge to uncover from the dataset. This study proposed An Arithmetic Mean of Information Gain and Correlation Ratio Based Decision Tree data mining algorithm which addressed the biasness and improve the accuracy of Information Gaindoi:10.33832/ijast.2019.127.05 fatcat:vp6neqd5cnc7hgslw3o7y2gvei