Comparing Neural Network Algorithm Performance Using Spss and Neurosolutions
نویسنده
چکیده
This study exploits 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 modelling 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. The two tools were found to have a different prediction accuracy percentages under the same conditions except when the dependent variable values distribution ratio was 1:1 the two tools achieved approximately the same results.
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