An Arithmetic Mean of Information Gain and Correlation Ratio Based Decision Tree Algorithm for Accident Dataset Mining: A Case Study of Accident Dataset of Gombe – Numan –Yola High Way, Nigeria

B. Z. Yahaya, L. J. Muhammad, N. Abdulganiyyu, F. S. Ishaq, Y. Atomsa
2019 International Journal of Advanced Science and Technology  
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 Gain
more » ... Decision tree data mining algorithms. The proposed algorithm was demonstrated using road accident dataset of Gombe -Numan -Yola High Way, Nigeria and gave 93.29 % accuracy against Information Gain Decision tree algorithm which gave 74.93% accuracy. The proposed algorithm minimized the biasness disadvantage of the information Gain of decision tree based algorithm for datasets with large number of attributes with different data types and district values.
doi:10.33832/ijast.2019.127.05 fatcat:vp6neqd5cnc7hgslw3o7y2gvei