A Comparative Study of Classification Algorithms to Analyse Biological Data sets

Abstract

Data mining is an area of computer science with a huge prospective and it is the process of discovering or extracting information from large database or data sets. Classification also can be implemented through different number of approaches or algorithms. The main theme is applying classification algorithms on the considered breast cancer data set. The theme explains about Decision tree, Bayesian classification, Support vector machines and K-Nearest neighbor algorithms and comparison between these four algorithms can be done with the help of R Programming language, which is a open source software.  For the comparison of the results, we have used accuracy, error rate, sensitivity, and specificity to find out from the confusion matrix or error matrix.