Feature selection based on modified minimize entropy principle

Feature selections have seen growing importance placed on statistics, pattern recognition, machine learning and data mining. Researchers have demonstrated the interest in the methods for improving the performance of their forecasting results. Therefore, this study proposes a feature selection approach, which based on minimize entropy principle approach. Experimental results have shown that the proposed model provided more average accuracy rate and stability then other methods.