Table 2.
Features importance of the decomposed components of UK-Pre (Pre COVID-19 NGF-UK)
| Series | Mean of squared residuals | % Var explained | Feature Importance | Execution Time (sec) | ||
|---|---|---|---|---|---|---|
| Feature #1 | Feature #2 | Feature #3 | ||||
| D1 (F) | 0.000045 | 61.33 | (42.71) | EMA12 (8.15) | MTM5 (7.82) | 0.41 |
| D1 (NF) | 0.000114 | 3.04 | LAG1 (8.91) | MTMS (7.84) | WMS (6.56) | 0.52 |
| D2 (F) | 0.000041 | 75.9 | (37.2) | LOSS (20.29) | WMS (16.71) | 0.43 |
| D2 (NF) | 0.000085 | 50.58 | LOSS (21.62) | WMS (17.33) | LAG1 (13.89) | 0.36 |
| D3 (F) | 0.000031 | 87.03 | (24.18) | LAG1 (20.48) | WMS (15.48) | 0.49 |
| D3 (NF) | 0.000044 | 81.69 | LAG1 (21.90) | LOSS (16.61) | WMS (15.88) | 0.37 |
| D4 (F) | 0.000017 | 95.74 | LAG1 (19.76) | (17.77) | B5 (16.46) | 0.36 |
| D4 (NF) | 0.000020 | 94.73 | LAG1 (19.23) | LOSS (16.06) | B5 (14.61) | 0.36 |
| S4 (F) | 0.000054 | 99.88 | MTM10 (10.53) | B10 (9.63) | LAG1 (7.87) | 0.37 |
| S4 (NF) | 0.000056 | 99.87 | MTM20 (9.47) | MTM5 (9.33) | LAG1 (8.86) | 0.34 |