Classification on Park River Median (train)
98.1AccuracyMulti-Sensor Attention Network
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Multi-Sensor Attention NetworkLearning Rate=5e-42025.12 | 98.1 | 1 | 97.8 | |
| Multi-Sensor Attention NetworkLearning Rate=1e-32025.12 | 97.5 | 0.999 | 97.1 | |
| Multi-Sensor Attention NetworkLearning Rate=1e-42025.12 | 96.9 | 0.998 | 96.4 | |
| Multi-Sensor Attention NetworkLearning Rate=5e-32025.12 | 96.4 | 0.997 | 96 | |
| Multi-Sensor Attention NetworkLearning Rate=5e-52025.12 | 96.2 | 0.996 | 95.7 | |
| Multi-Sensor Attention NetworkLearning Rate=1e-52025.12 | 95 | 0.992 | 94.5 | |
| Simple CNNLearning Rate=5e-42025.12 | 79.2 | 0.845 | 73.2 | |
| Simple CNNLearning Rate=1e-32025.12 | 78.5 | 0.838 | 72.5 | |
| Simple CNNLearning Rate=1e-42025.12 | 78.2 | 0.835 | 72.2 | |
| Simple CNNLearning Rate=5e-52025.12 | 77.2 | 0.825 | 71.2 | |
| Simple CNNLearning Rate=5e-32025.12 | 77 | 0.825 | 71 | |
| Simple CNNLearning Rate=1e-52025.12 | 76.2 | 0.815 | 70.2 | |
| Decision TreeLearning Rate=1e-52025.12 | 74.8 | 0.665 | 70.5 | |
| Random ForestLearning Rate=1e-52025.12 | 73.8 | 0.702 | 65.8 | |
| SVM (RBF)Learning Rate=1e-52025.12 | 72.8 | 0.672 | 63.2 |