An Air Traffic Controller Action Extraction-Prediction Model Using Machine Learning Approach
Table 6
Feature importance of random forest models for action value prediction.
Model RR1
FI_RR1 (%)
Model RR2
FI_RR2 (%)
Model RR3
FI_RR3 (%)
Speed
34.2
D_WSSS
82.7
Course
46.6
D_WSSS
32.1
V_Speed
5.2
Longitude
30.1
Altitude
6.3
Altitude
4.0
Latitude
10.4
T_Remain
5.0
T_Remain
2.7
D_RPLL
1.7
V_Speed
3.2
Speed
0.8
T_Remain
1.6
Longitude
2.9
Course
0.8
Altitude
1.4
Course
2.8
Longitude
0.6
D_WSSS
1.1
Latitude
2.1
Latitude
0.5
V_Speed
0.9
Hour
1.7
Hour
0.4
Speed
0.9
Month
1.5
Month
0.3
Hour
0.8
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