1075171-40-2Relevant academic research and scientific papers
Identification of SVM-based classification model, synthesis and evaluation of prenylated flavonoids as vasorelaxant agents
Dong, Xiaowu,Liu, Yujie,Yan, Jingying,Jiang, Chaoyi,Chen, Jing,Liu, Tao,Hu, Yongzhou
experimental part, p. 8151 - 8160 (2009/04/11)
Support vector machine (SVM) was applied to predict vasorelaxation effect of different structural molecules. A good classification model had been established, and the accuracy in prediction for the training, test, and overall datasets was 93.0%, 82.6%, an
