基于多种机器学习及其堆叠式集成方法的月尺度北极海冰预测研究
岳瀚栋, 窦挺峰, 李润奎, 丁明虎, 效存德

Monthly-scale Arctic sea ice extent prediction based on multiple machine learning and stacking ensemble methods
Handong YUE, Tingfeng DOU, Runkui LI, Minghu DING, Cunde XIAO
表5 不同模型预测的2000年逐月海冰密集度偏差(以RMSE和R2表示)
Table 5 Monthly RMSE and R2 of sea ice concentrations in 2000 predicted by various models
模型名逐月RMSE平均值/%逐月R2平均值
LR10.390.91
SVR11.140.90
LGB6.530.96
XGB6.410.97
CAT6.220.97
DF7.070.95
Ens6.120.97
DNN10.650.90
CNN6.560.94
ConvLSTM5.790.97