Abstrait

Classification and performance evaluation using data mining algorithms

Vaibhav P. Vasani, Rajendra D. Gawali

In this paper, classification of the data collected from students of polytechnic institute has been discussed. This data is pre-processed to remove unwanted and less meaningful attributes. These students are then classified into different categories like brilliant, average, weak using decision tree and naïve Bayesian algorithms. The processing is done using WEKA data mining tool. This paper also compares results of classification with respect to different performance parameters.