Research Article
Incomplete Time Series Prediction Using Max-Margin Classification of Data with Absent Features
Table 2
Imputation results of Henon time series with discrete missing data.
| Missing level | Our | Mean | KNN | RGGB | MSE | MAE | MSE | MAE | MSE | MAE | MSE | MAE |
| 4–6% | 0.2385 | 0.1999 | 0.8352 | 0.6791 | 0.4624 | 0.4602 | 0.6683 | 0.5592 | 7–9% | 0.4223 | 0.3120 | 0.9954 | 0.8148 | 0.6707 | 0.5534 | 0.7888 | 0.6156 | 10–12% | 0.6461 | 0.4422 | 1.3951 | 1.2638 | 0.6746 | 0.6193 | 0.8321 | 0.6378 |
| 13–15% | 0.6787 | 0.5261 | 1.4655 | 1.3114 | 0.7868 | 0.6467 | 1.2035 | 0.7639 |
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