基于MICE_RF的组合赋权—极限随机树岩爆预测模型
温廷新,苏焕博

Combined Weighting-Extremely Randomized Trees Rockburst Prediction Model Based on MICE_ RF
Tingxin WEN,Huanbo SU
表2 不同插补方法的效果对比
Table 2 Comparison of effects of different interpolation methods
评估指标MeanSVMKNNRFMCMCMICE_RF
PACr0.81610.81980.82950.86660.87970.9114
RMSE15.744116.102316.791913.522012.778910.9850
DACK-S statistic0.10950.09850.05840.05840.03640.0329
K-S p-value0.45200.52840.86180.91000.99860.9999