Perceived risk prediction on LC Scenario
0.4171RMSEDeep Neural Network (DNN)
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Deep Neural Network (DNN)Event=4, Scenario=LC2025.08 | 0.4171 | 0.8544 | |
| Deep Neural Network (DNN)Event=8, Scenario=LC2025.08 | 0.4345 | 0.8465 | |
| Deep Neural Network (DNN)Event=12, Scenario=LC2025.08 | 0.4606 | 0.8489 | |
| Deep Neural Network (DNN)Event=5, Scenario=LC2025.08 | 0.4796 | 0.8697 | |
| Deep Neural Network (DNN)Event=6, Scenario=LC2025.08 | 0.4831 | 0.8027 | |
| Deep Neural Network (DNN)Event=10, Scenario=LC2025.08 | 0.4965 | 0.8318 | |
| Deep Neural Network (DNN)Event=7, Scenario=LC2025.08 | 0.516 | 0.8086 | |
| Deep Neural Network (DNN)Event=20, Scenario=LC2025.08 | 0.5336 | 0.7819 | |
| Deep Neural Network (DNN)Event=11, Scenario=LC2025.08 | 0.5552 | 0.8222 | |
| Deep Neural Network (DNN)Event=15, Scenario=LC2025.08 | 0.5728 | 0.7639 | |
| Deep Neural Network (DNN)Event=3, Scenario=LC2025.08 | 0.5816 | 0.5803 | |
| Deep Neural Network (DNN)Event=9, Scenario=LC2025.08 | 0.6351 | 0.6901 | |
| Deep Neural Network (DNN)Event=13, Scenario=LC2025.08 | 0.666 | 0.7246 | |
| Deep Neural Network (DNN)Event=18, Scenario=LC2025.08 | 0.6839 | 0.6761 | |
| Deep Neural Network (DNN)Event=17, Scenario=LC2025.08 | 0.6928 | 0.7057 | |
| Deep Neural Network (DNN)Event=16, Scenario=LC2025.08 | 0.6939 | 0.745 | |
| Deep Neural Network (DNN)Event=1, Scenario=LC2025.08 | 0.7026 | 0.7947 | |
| Deep Neural Network (DNN)Event=14, Scenario=LC2025.08 | 0.723 | 0.854 | |
| Deep Neural Network (DNN)Event=2, Scenario=LC2025.08 | 0.7636 | 0.8598 | |
| Deep Neural Network (DNN)Event=19, Scenario=LC2025.08 | 0.8511 | 0.7962 | |
| PCADEvent=3, Scenario=LC2025.08 | 1.5787 | -0.3098 | |
| PCADEvent=8, Scenario=LC2025.08 | 1.6672 | 0.5291 | |
| PCADEvent=6, Scenario=LC2025.08 | 1.6948 | 0.4644 | |
| PCADEvent=7, Scenario=LC2025.08 | 1.7086 | 0.4581 | |
| PCADEvent=4, Scenario=LC2025.08 | 1.7163 | 0.5866 | |
| PCADEvent=20, Scenario=LC2025.08 | 1.765 | 0.3548 | |
| PCADEvent=12, Scenario=LC2025.08 | 1.774 | 0.5867 | |
| PCADEvent=10, Scenario=LC2025.08 | 1.7792 | 0.4738 | |
| PCADEvent=9, Scenario=LC2025.08 | 1.8045 | 0.0929 | |
| PCADEvent=18, Scenario=LC2025.08 | 1.8464 | -0.0481 | |
| PCADEvent=13, Scenario=LC2025.08 | 1.8496 | 0.2005 | |
| PCADEvent=5, Scenario=LC2025.08 | 1.8541 | 0.6056 | |
| PCADEvent=16, Scenario=LC2025.08 | 1.8607 | 0.1602 | |
| PCADEvent=15, Scenario=LC2025.08 | 1.8686 | 0.3262 | |
| PCADEvent=11, Scenario=LC2025.08 | 1.8706 | 0.4426 | |
| PCADEvent=17, Scenario=LC2025.08 | 1.9332 | 0.0531 | |
| DRFEvent=12, Scenario=LC2025.08 | 2.0503 | 0.8076 | |
| DRFEvent=5, Scenario=LC2025.08 | 2.0976 | 0.7861 | |
| PCADEvent=1, Scenario=LC2025.08 | 2.1014 | 0.2265 | |
| DRFEvent=4, Scenario=LC2025.08 | 2.133 | 0.8181 | |
| DRFEvent=20, Scenario=LC2025.08 | 2.1382 | 0.7861 | |
| DRFEvent=15, Scenario=LC2025.08 | 2.1492 | 0.7315 | |
| DRFEvent=8, Scenario=LC2025.08 | 2.159 | 0.8339 | |
| DRFEvent=11, Scenario=LC2025.08 | 2.1736 | 0.7949 | |
| DRFEvent=6, Scenario=LC2025.08 | 2.175 | 0.8005 | |
| DRFEvent=10, Scenario=LC2025.08 | 2.1915 | 0.8023 | |
| DRFEvent=7, Scenario=LC2025.08 | 2.2278 | 0.7946 | |
| DRFEvent=9, Scenario=LC2025.08 | 2.2419 | 0.6711 | |
| PCADEvent=14, Scenario=LC2025.08 | 2.2603 | 0.2697 | |
| DRFEvent=17, Scenario=LC2025.08 | 2.2606 | 0.6566 | |
| DRFEvent=3, Scenario=LC2025.08 | 2.2725 | 0.5464 | |
| DRFEvent=13, Scenario=LC2025.08 | 2.3074 | 0.7099 | |
| DRFEvent=16, Scenario=LC2025.08 | 2.3108 | 0.6678 | |
| PCADEvent=19, Scenario=LC2025.08 | 2.3115 | 0.1679 | |
| DRFEvent=18, Scenario=LC2025.08 | 2.3131 | 0.6076 | |
| PCADEvent=2, Scenario=LC2025.08 | 2.3368 | 0.2315 | |
| DRFEvent=1, Scenario=LC2025.08 | 2.5106 | 0.6979 | |
| DRFEvent=14, Scenario=LC2025.08 | 2.598 | 0.6771 | |
| DRFEvent=2, Scenario=LC2025.08 | 2.7829 | 0.6541 | |
| DRFEvent=19, Scenario=LC2025.08 | 2.8311 | 0.6478 |