A SVM multi-classifier based on the weighted threshold strategy
Shoubin Dong · Journal of Shandong University · 2006
A weighted threshold strategy named WRCut and an improved OVA algorithm named OVA-WWT are presented to improve the equitableness and the precision of classifiers,a multi-classifier of SVM~(light) named MSVM~(light) based on the OVA-WWT(strategy) is implemented,and two experiments on CWT100G data set are constructed,one to compare MSVM~(light) with other classifiers,and the other to compare WRCut strategy with RCut strategy.The results show that compared with other classifiers MSVM~(light) has a higher precision rate and shorter training time and that OVA-WWT algorithm can improve the precision rate of OVA.