Comparison of data mining techniques and tools for data classification (PDF Download Available)

The datasets used in the test were saved in Weka's standardized All tools are able to read this format natively. It was not used any preprocessing widget. Bayes', the data has not been subjected to preprocessing as these'RProp MLP Learner', the real class and the predicted class were Tests were exhaustive, i.e. all the algorithms were RapidMiner has some operators (e.g. 'LibSVMLearner'), that only work with numeric attributes; for