Novel Approach to Evaluate Classification Algorithms and Feature Selection Filter Algorithms Using Medical Data


  • Fawad Masood School of Computing, Edinburgh Napier University, UK and College of Information Engineering, Yangzhou University, China
  • Junaid Masood Department of Computer Science, IQRA National University, Pakistan
  • Hina Zahir Department of Electrical Engineering, University of Engineering and Technology, Pakistan
  • Kaouthar Driss National School of Computer Sciences, ENSI Manouba University Campus, Tunisia
  • Nasir Mehmood Department of Basic and Applied Sciences, Air University, Pakistan
  • Hassan Farooq Department of Computer Science, Bahria University, Pakistan



data mining, classification algorithm, Tanagra, feature selection algorithm, error rate, input parameters, target parameter


In today’s world, hepatitis is a widespread problem related to the medical field, which directly affects the lives of mankind. For patient survival, data mining is essential in predicting future trends using various techniques. This paper uses three feature selection filter algorithms (FSFAs): relief filter, step disc filter, and Fisher filter algorithm and 15 classifiers using a free data mining Tanagra software having UCI Machine Learning Repository. This process is done on a medical dataset with 20 attributes and 155 instances. As a result, the error rate is obtained in terms of accuracy, which shows the performance of algorithms regarding patient survival. This work also shows the independent comparison of FSFAs with classification algorithms using continuous values and the FSFA without using classification algorithms. This paper shows that the obtained result of the classification algorithm gives promising results in terms of error rate and accuracy.


Received: 6 April 2022 | Revised: 12 May 2022 | Accepted: 16 May 2022


Conflicts of Interest

The authors declare that they have no conflicts of interest to this work.


Metrics Loading ...




How to Cite

Masood, F., Masood, J., Zahir, H., Driss, K., Mehmood, N., & Farooq, H. (2022). Novel Approach to Evaluate Classification Algorithms and Feature Selection Filter Algorithms Using Medical Data. Journal of Computational and Cognitive Engineering, 2(1), 57–67.



Research Articles