Research Article

Outlier Removal in Model-Based Missing Value Imputation for Medical Datasets

Table 2

The best imputation process over each dataset.

DatasetMissing rate
10%20%30%40%50%

Categorical datasets
LymphographyGA + SVMIB3 + KNNIDROP3 + SVMIB3 + KNNIDROP3 + KNNI
NurseryKNNIGA + MLPIB3 + MLPMLPMLP
PromotersDROP3 + MLPIB3/DROP3 + KNNIIB3/DROP3 + MLPIB3/DROP3 + SVMIB3/DROP3 + SVM
SPECTKNNIMLPMLPMLPKNNI
Numerical datasets
BloodGA + KNNIGA + MLPGA + MLPGA + KNNIDROP3 + MLP
Breast cancerIB3 + SVMIB3 + MLPIB3 + SVMIB3 + SVMIB3 + SVM
EcoliIB3 + KNNIIB3 + KNNIIB3 + KNNIIB3 + KNNIIB3 + KNNI
PimaIB3/DROP3/GA + KNNI/MLP/SVMIB3 + MLPIB3 + KNNI/MLP
DROP3 + KNNI
GA + MLP
IB3 + KNNI/MLPIB3 + MLP
YeastIB3 + SVMIB3 + KNNIIB3 + SVMIB3 + SVMGA + SVM
Mixed datasets
AbaloneIB3 + SVMGA + MLPGA + MLPIB3 + SVMGA + MLP
AcuteGA + SVM
KNNI/MLP/SVM
MLP/SVMKNNI/SVMSVMMLP
ContraceptiveKNNISVMSVMIB3 + SVMMLP
Liver_disordersIB3 + KNNIIB3 + KNNIIB3 + KNNIIB3/GA + SVMIB3 + KNNI
StatlogIB3 + KNNI/MLPIB3 + KNNI/MLP/SVM
GA + MLP
GA + SVMIB3 + SVM
GA + MLP/SVM
IB3 + MLP
Statlog_GermanIB3/DROP3/GA + KNNI/MLP/SVMIB3/DROP3/GA + KNNI/MLP/SVMIB3/DROP3/GA + KNNI/MLP/SVMIB3/DROP3/GA + KNNI/MLP/SVMIB3/DROP3/GA + KNNI/MLP/SVM