Research Article
Incomplete Time Series Prediction Using Max-Margin Classification of Data with Absent Features
Table 3
Imputation results of Mackey-Glass time series with continuous missing data.
| Missing level | Our | Mean | KNN | RGGB | MSE | MAE | MSE | MAE | MSE | MAE | MSE | MAE |
| 4–6% | 0.0741 | 0.0604 | 0.1044 | 0.0941 | 0.0846 | 0.0676 | 0.1296 | 0.1013 | 7–9% | 0.0831 | 0.0691 | 0.1718 | 0.1374 | 0.1299 | 0.1081 | 0.1531 | 0.1320 | 10–12% | 0.0832 | 0.0748 | 0.1791 | 0.1508 | 0.1091 | 0.0853 | 0.2020 | 0.1553 |
| 13–15% | 0.1082 | 0.0814 | 0.1951 | 0.1526 | 0.1347 | 0.1119 | 0.2220 | 0.1843 |
|
|