Classification on Park River North Bound (test)
95.5AccuracyMulti-Sensor Attention Network
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Multi-Sensor Attention NetworkLearning Rate=5e-42025.12 | 95.5 | 0.995 | 84.5 | |
| Multi-Sensor Attention NetworkLearning Rate=1e-32025.12 | 94.9 | 0.993 | 83.7 | |
| Multi-Sensor Attention NetworkLearning Rate=1e-42025.12 | 94.1 | 0.991 | 82.9 | |
| Multi-Sensor Attention NetworkLearning Rate=5e-32025.12 | 93.6 | 0.989 | 82.3 | |
| Simple CNNLearning Rate=5e-42025.12 | 93.2 | 0.92 | 91.8 | |
| Multi-Sensor Attention NetworkLearning Rate=5e-52025.12 | 93.2 | 0.988 | 82 | |
| Simple CNNLearning Rate=1e-32025.12 | 92.5 | 0.915 | 91.2 | |
| Simple CNNLearning Rate=1e-42025.12 | 92.2 | 0.912 | 91 | |
| Multi-Sensor Attention NetworkLearning Rate=1e-52025.12 | 92 | 0.985 | 80.8 | |
| Simple CNNLearning Rate=5e-32025.12 | 91.2 | 0.905 | 90.2 | |
| Simple CNNLearning Rate=5e-52025.12 | 91 | 0.902 | 90 | |
| Simple CNNLearning Rate=1e-52025.12 | 89.8 | 0.891 | 88.9 | |
| Random ForestLearning Rate=1e-52025.12 | 83.1 | 0.731 | 80.2 | |
| Random ForestLearning Rate=5e-52025.12 | 83.1 | 0.731 | 80.2 | |
| Random ForestLearning Rate=1e-42025.12 | 83.1 | 0.731 | 80.2 | |
| Random ForestLearning Rate=5e-42025.12 | 83.1 | 0.731 | 80.2 | |
| Random ForestLearning Rate=1e-32025.12 | 83.1 | 0.731 | 80.2 | |
| Random ForestLearning Rate=5e-32025.12 | 83.1 | 0.731 | 80.2 | |
| SVM (RBF)Learning Rate=1e-52025.12 | 82.2 | 0.684 | 77.7 | |
| SVM (RBF)Learning Rate=5e-52025.12 | 82.2 | 0.684 | 77.7 | |
| SVM (RBF)Learning Rate=1e-42025.12 | 82.2 | 0.684 | 77.7 | |
| SVM (RBF)Learning Rate=5e-42025.12 | 82.2 | 0.684 | 77.7 | |
| SVM (RBF)Learning Rate=1e-32025.12 | 82.2 | 0.684 | 77.7 | |
| SVM (RBF)Learning Rate=5e-32025.12 | 82.2 | 0.684 | 77.7 | |
| Decision TreeLearning Rate=1e-52025.12 | 77.5 | 0.565 | 76.6 | |
| Decision TreeLearning Rate=5e-52025.12 | 77.5 | 0.565 | 76.6 | |
| Decision TreeLearning Rate=1e-42025.12 | 77.5 | 0.565 | 76.6 | |
| Decision TreeLearning Rate=5e-42025.12 | 77.5 | 0.565 | 76.6 | |
| Decision TreeLearning Rate=1e-32025.12 | 77.5 | 0.565 | 76.6 | |
| Decision TreeLearning Rate=5e-32025.12 | 77.5 | 0.565 | 76.6 |