Research Article
Incomplete Time Series Prediction Using Max-Margin Classification of Data with Absent Features
Table 4
Imputation results of Henon time series with continuous missing data.
| Missing level | Our | Mean | KNN | RGGB | MSE | MAE | MSE | MAE | MSE | MAE | MSE | MAE |
| 4–6% | 0.2409 | 0.1966 | 0.9633 | 0.8316 | 0.5449 | 0.4247 | 0.7294 | 0.5216 | 7–9% | 0.3945 | 0.3391 | 1.0269 | 0.8957 | 0.5450 | 0.5022 | 0.8275 | 0.5777 | 10–12% | 0.5472 | 0.4904 | 1.1343 | 0.9802 | 0.6777 | 0.5297 | 1.1462 | 0.7090 |
| 13–15% | 0.8340 | 0.6190 | 1.3937 | 1.3101 | 0.7895 | 0.6711 | 1.2137 | 0.7657 |
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