Metalearner

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Updated: Jul 22, 2014 by lucasdeandrade87
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Release Notes

This release consists on the use of Machine Learning techniques to generate a model capable of predicting which would be the algorithm with the best performance given the characteristics of the instance.

The input to the system is an ARFF file containing the instance name, features and classes being the algorithms that performed best empirically.

The output is predictive model.