Table 1.
Datasets.
Fig 1.
Main steps used in multiple imputation [31].
Fig 2.
Accuracy of imputations by MICE and mode.
Fig 3.
Accuracy of imputations of MICE by feature.
Fig 4.
Accuracy of mode imputations by feature.
Table 2.
The overall accuracy of MICE and mode.
Table 3.
The overall MAE and RMSE.
Table 4.
The overall accuracy of MICE and mode.
Table 5.
The overall MAE and RMSE.
Table 6.
The overall MAE and RMSE.
Fig 5.
Distribution of complete breast-cancer dataset.
Fig 6.
Distribution of breast-cancer dataset imputed by MICE.
Fig 7.
Distribution of breast-cancer dataset imputed by mode.
Table 7.
Results of feature selection of the letter-recognition dataset.
Fig 8.
Intersections of sets of relevant features of the letter-recognition dataset and its simulated datasets.
Table 8.
Results of feature selection of the statlog dataset.
Fig 9.
Intersections of sets of relevant features of the statlog dataset and its simulated datasets.
Table 9.
Results of feature selection of the spambase dataset.
Fig 10.
Intersections of sets of relevant features of the spambase dataset and its simulated datasets.
Table 10.
Results of feature selection of the breast-cancer dataset.
Fig 11.
Intersections of sets of relevant features of the breast-cancer dataset and its simulated datasets.
Table 11.
Accuracy of MICE by feature.
Table 12.
Accuracy of Mode by feature.
Table 13.
Accuracy of MICE by feature.
Table 14.
Accuracy of mode replacement by feature.
Table 15.
MAE of MICE by feature.
Table 16.
MAE of mode replacement by feature.
Table 17.
RMSE of MICE by feature.
Table 18.
RMSE of mode replacement by feature.
Table 19.
Results of feature selection of simulated datasets.
Table 20.
Results of feature selection of simulated datasets.
Table 21.
Results of feature selection of simulated datasets.
Table 22.
Results of feature selection of simulated datasets.