Analysis of Various Classification Methods

The process of gaining knowledge from enormous amount of data is called data mining. This paper uses the Weka tool to compare different types of classification methods. Decision tree, Multilayer perceptron, Naïve Bayes, J48 algorithms are used for classification analysis in terms of correctly and incorrectly classified instances and Area of ROC curve. Test option selected is cross validation with 10 folds. Datasets used breast cancer, diabetes from health care industry. In health care industry huge data is available but not so much knowledge extracted.