Research Article
Incomplete Time Series Prediction Using Max-Margin Classification of Data with Absent Features
Table 1
Imputation results of Mackey-Glass time series with discrete missing data.
| Missing level | Our | Mean | KNN | RGGB | MSE | MAE | MSE | MAE | MSE | MAE | MSE | MAE |
| 4–6% | 0.0716 | 0.0626 | 0.0628 | 0.0545 | 0.0728 | 0.0602 | 0.0692 | 0.0594 | 7–9% | 0.0783 | 0.0744 | 0.0809 | 0.0657 | 0.0823 | 0.0612 | 0.0840 | 0.0771 | 10–12% | 0.0912 | 0.0865 | 0.0969 | 0.0833 | 0.0795 | 0.0669 | 0.0979 | 0.0857 |
| 13–15% | 0.1064 | 0.0933 | 0.1010 | 0.0836 | 0.1086 | 0.1050 | 0.1242 | 0.1098 |
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