Performance Analysis of Classification Techniques for Car Data Set Analysis

Data mining which is also known as data or knowledge discovery is an important technique to analyze data and discover important information from different data bases. Data mining consists of various classification and prediction algorithms. Classification is an important technique with a broad area of application. To analyze different algorithms of classification is a complex task. In this paper Waikato Environment for Knowledge Analysis (WEKA) tool is used for classification of an automobile data set. Here, 66 different classifiers are applied for this data set. The aim of this work is to compare and analyze different classification algorithms on WEKA tool and find out which classification algorithm is most suitable to work with automobile data set.