Research Article
An Air Traffic Controller Action Extraction-Prediction Model Using Machine Learning Approach
Table 8
Feature importance of random forest models for action prediction.
| RC1 | FI1 (%) | RC2 | FI2 (%) | RC3 | FI3 (%) | RC4 | FI4 (%) |
| Speed | 14 | Latitude | 17 | Course | 19 | Latitude | 17 | V_Speed | 10 | V_Speed | 15 | Longitude | 16 | Course | 13 | T_Remain | 10 | T_Remain | 15 | Latitude | 14 | Longitude | 10 | Latitude | 8 | O_WSSS | 14 | Altitude | 8 | T_Remain | 9 | Course | 7 | D_WSSS | 8 | T_Remain | 5 | V_Speed | 9 | Altitude | 7 | Course | 4 | Speed | 4 | Speed | 7 | Longitude | 7 | D_VTBS | 3 | V_Speed | 4 | Altitude | 6 | Month | 4 | Altitude | 3 | O_RKSI | 2 | D_WSSS | 4 | Day | 4 | Longitude | 3 | Month | 2 | O_WSSS | 3 | Hour | 3 | Hour | 2 | Day | 2 | Month | 3 |
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