PMBGAProbabilistic Model-Building Genetic Algorithm
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PMBGA. PMBGA can be applied for selection of a smaller size gene subset that would classify patient samples more accurately [21].
We compared the performance of EDA-SVM with two alternative methods: GA-SVM and PMBGA (Figures 2 and 3).
Although similar combination strategies have been explored previously [21], EDA-SVM shows unique advantages compared with the alternative methods, GA-SVM or PMBGA. For example, EDAV-SVM not only converged more quickly, but also achieved higher accuracy with stable performance than the other two methods did.