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Classification is a classic technique employed in data mining. Many ensemble learning methods have been introduced to improve the predictive accuracy of classification. A typical ensemble learning method consists of three steps: selection, building, and integration. Of the three steps, the first and third significantly affect the predictive accuracy of the classification. In this paper, we propose...
Support vector machine (SVM) is a state-of-art classification tool with good accuracy due to its ability to generate nonlinear model. However, the nonlinear models generated are typically regarded as incomprehensible black-box models. This lack of explanatory ability is a serious problem for practical SVM applications which require comprehensibility. Therefore, this study applies a C5 decision tree...
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