Table 11 Comparison on a Full-Retrain with Batch Update on Online-Updating Approach on ActivePMFv2 model learning (Feature k = 20; No of Work Done = 11,000)
ActivePMFv2 model | MAE | RMSE | Avg Runtime per Work Done (min) |
|---|---|---|---|
Full Retrain | 0.0156 | 0.0845 | 3.839 |
Online-Updating (Partial = 0.001; Batch = 1) | 0.0156 | 0.0845 | 3.374 |
Online-Updating (Partial = 0.001; Batch = 10) | 0.0191 | 0.0914 | 0.675 |
Online-Updating (Partial = 0.001; Batch = 50) | 0.0313 | 0.1353 | 0.142 |
Online-Updating (Partial = 0.001; Batch = 100) | 0.0515 | 0.2103 | 0.137 |
Online-Updating (Partial = 0.001; Batch = 150) | 0.0768 | 0.2977 | 0.049 |
Online-Updating (Partial = 0.001; Batch = 200) | 0.0513 | 0.2033 | 0.038 |
Online-Updating (Partial = 0.001; Batch = 500) | 0.1022 | 0.3445 | 0.017 |