Comparing Neural Network Algorithm Performance Using SPSS and Neurosolutions

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Provided by: International Arab Conference on Information Technology (ACIT)
Topic: Data Management
Format: PDF
In this paper the authors exploit the neural network data mining algorithm to predict the value of the dependent variable under certain conditions in order to investigate the effect of the dependent variable values distribution on the prediction accuracy performance. The prediction models were designed using two modeling tools, viz., SPSS and NeuroSolutions where the prediction performance of the two tools was compared. The dependent variable values distribution in the training dataset was found to have an impact on the prediction performance of the neural network using the two tools.
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