Proceedings of International Conference on Applied Innovation in IT
2016/03/10, Volume 4, Issue 1, pp.77-79
Handling the Problem of Unbalanced Data Sets in the Classification of Technical Equipment States
Abstract: Questions of handling unbalanced data considered in this article. As models for classification, PNN and MLP are used. Problem of estimation of model performance in case of unbalanced training set is solved. Several methods (clustering approach and boosting approach) considered as useful to deal with the problem of input data.
Keywords: unbalanced data, probabilistic neural net, multilayer perceptron, classification, evaluation of performance, preparation of data
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