Classification on Park River Median (test)
96.6AccuracyMulti-Sensor Attention Network
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Multi-Sensor Attention NetworkLearning Rate=5e-42025.12 | 96.6 | 99.8 | 96.3 | |
| Multi-Sensor Attention NetworkLearning Rate=1e-32025.12 | 96.1 | 99.6 | 95.7 | |
| Multi-Sensor Attention NetworkLearning Rate=1e-42025.12 | 95.3 | 99.3 | 94.9 | |
| Multi-Sensor Attention NetworkLearning Rate=5e-32025.12 | 94.8 | 99.1 | 94.4 | |
| Multi-Sensor Attention NetworkLearning Rate=5e-52025.12 | 94.5 | 99 | 94.1 | |
| Multi-Sensor Attention NetworkLearning Rate=1e-52025.12 | 93.2 | 98.5 | 92.8 | |
| Simple CNNLearning Rate=5e-42025.12 | 77.2 | 83.2 | 72 | |
| Simple CNNLearning Rate=1e-32025.12 | 76.5 | 82.5 | 71.2 | |
| Simple CNNLearning Rate=1e-42025.12 | 76 | 82.2 | 70.8 | |
| Simple CNNLearning Rate=5e-32025.12 | 75.2 | 81.2 | 69.8 | |
| Simple CNNLearning Rate=5e-52025.12 | 74.8 | 81 | 69.5 | |
| Simple CNNLearning Rate=1e-52025.12 | 73.5 | 79.7 | 68.1 | |
| Random ForestLearning Rate=1e-52025.12 | 72 | 68.6 | 64.2 | |
| SVM (RBF)Learning Rate=1e-52025.12 | 71.3 | 65.7 | 61.6 | |
| Decision TreeLearning Rate=1e-52025.12 | 66.9 | 59.5 | 63.8 |