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In this research we took an experiment of two feature selection methods - eta square and stepwise methods on two classification models - back propagation neural network (BPNN) and general regression neural network (GRNN) to study the effects on the correctness of firm bankruptcy classification. The correctness includes the average classification correctness and the power of bankruptcy classification...
Data mining is the use of algorithms to extract the information and patterns derived by the knowledge discovery in databases process. Classification maps data into predefined groups or classes. It is often referred to as supervised learning because the classes are determined before examining the data. In many data mining applications that address classification problems, feature and model selection...
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