Preprocessing of Various Data Sets Using Different Classification Algorithms for Evolutionary Programming

The performance analysis and preprocessing of data is very important in data mining. Here, the performance is analyzed on various classification algorithms using different data sets so as to identify which results the best accuracy of different data. The preprocessing helps us to improve data efficiency and remove the noisy data which helps to identify the survival of the fittest. This paper presents the efficient data based on the various classification algorithms and preprocessing is performed. Here, various data sets are chosen, which results in comparison of data set based on the classification algorithm.