MLWizard is a tool supporting non-experts in developing classification system
within RapidMiner. For a given data set, it automatically recommends, constructs, and optimizes a classification process. The user is guided in three
simple steps from its dataset to a ready-to-use classification system.

MLWizard implements several meta-learning methods. Based on the knowledge about many datasets, it predict the accuracy of different classification algorithms for the given dataset. Additionally, it provides an improved genetic
optimization for the most important parameters of the classifiers by replacing the random start population with already promising solutions.