Table 4 Feature importance scores.
From: The analysis of motion recognition model for badminton player movements using machine learning
Feature name | SVM importance score | 3D CNN importance score | QCNN importance score |
|---|---|---|---|
Arm angle | 0.42 | 0.50 | 0.55 |
Rotation angle | 0.35 | 0.38 | 0.43 |
Footwork position | 0.30 | 0.32 | 0.34 |
Grip type | 0.28 | 0.30 | 0.36 |
Step amplitude | 0.20 | 0.25 | 0.29 |
Swing speed | 0.18 | 0.22 | 0.27 |
