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AA SVM multiclassifier based on the weighted threshold strategy

CAO Hong,DONG Shou-bin,ZHANG Ling   

  1. Guangdong Key Laboratory of Computer Network， South China University of Technology,
  • Received:2006-03-29 Revised:1900-01-01 Online:2006-10-24 Published:2006-10-24
  • Contact: CAO Hong

Abstract: algorithm named OVAWWT are presented to improve the equitableness and the precision of classifiers, a multiclassifier of SVMlight named MSVMlight based on the OVAWWT strategy is implemented, and two experiments on CWT100G data set are constructed, one to compare MSVMlight with other classifiers, and the other to compare WRCut strategy with RCut strategy. The results show that compared with other classifiers MSVMlight has a higher precision rate and shorter training time and that OVAWWT algorithm can improve the precision rate of OVA.

Key words: multiclassification , weighted threshold strategy, onevsall, support vector machine

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