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 Mean SVM KNN RF MCMC MICE_RF PAC r 0.8161 0.8198 0.8295 0.8666 0.8797 0.9114 RMSE 15.7441 16.1023 16.7919 13.5220 12.7789 10.9850 DAC K-S statistic 0.1095 0.0985 0.0584 0.0584 0.0364 0.0329 K-S p-value 0.4520 0.5284 0.8618 0.9100 0.9986 0.9999