基于加速扩散模型的缺失值插补算法
王圣举,张赞

Missing value imputation algorithm based on accelerated diffusion model
Shengju WANG,Zan ZHANG
表 3 不同插补方法在纯数值特征数据集中的均方根误差
Tab.3 Root mean square error of different imputation methods in purely numerical feature datasets
方法RMSE
BreastLibrasCOFIRGCWR
平均值0.251±0.0120.103±0.0030.225±0.0080.135±0.0040.210±0.0060.239±0.002
ICE0.145±0.0050.029±0.0030.152±0.0060.042±0.0050.232±0.0040.191±0.003
EM0.146±0.0060.027±0.0080.153±0.0060.043±0.0050.189±0.0020.192±0.003
GAIN0.177±0.0100.050±0.0070.220±0.0050.086±0.0030.249±0.0090.227±0.005
MissForest0.148±0.0030.036±0.0020.167±0.0060.057±0.0040.206±0.0050.180±0.002
MIWAE0.481±0.0220.654±0.0070.245±0.0060.146±0.0040.275±0.0070.257±0.003
TabCSDI0.152±0.0050.010±0.0010.135±0.0120.051±0.0040.214±0.0040.197±0.004
PNDM_Tab0.143±0.0060.008±0.0000.124±0.0050.028±0.0040.192±0.0060.175±0.003