PREDICTING PERFORMANCE OF CLASSIFICATION ALGORITHMS

Classification is the most commonly applied data mining method, and is used to develop models that can classify large amounts of data to predict the best performance. Identifying the best classification algorithm among all available is a c hallenging task. This paper presents a performance comparative study of the most widely used classification algorithms. Moreover, the performances of these algorithms have been analyzed by using different data sets. Three different datasets from University of California, Irvine (UCI) are compared with different classification techniques. Each technique has been evaluated with respect to accuracy and execution time and performance evaluation has been carried out with selected classification algorithms.