基于主成分分析—支持向量机模型的矿岩可爆性等级预测研究
韩超群,陈建宏,周智勇,杨珊

Research on Prediction of Rock Mass Blastability Classification Based on PCA-SVM Model
Chaoqun HAN,Jianhong CHEN,Zhiyong ZHOU,Shan YANG
表6 11次随机试验模型预测结果对比
Table 6 Comparison of prediction results of 11 randomized trial models
序号随机种子设置PCA-SVM模型误判数(准确率/%)SVM模型误判数(准确率/%)
准确率均值90.178.5
11831(90.9)2(81.8)
22081(90.9)3(72.7)
32791(90.9)1(90.9)
43041(90.9)3(72.7)
54060(100.0)1(90.9)
64241(90.9)4(63.6)
75141(90.9)2(81.8)
86212(81.8)4(63.6)
97241(90.9)1(90.9)
107662(81.8)2(81.8)
118101(90.9)3(72.7)