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Classification on Park River North Bound (train)

96.9AccuracyMulti-Sensor Attention Network
83.27686.81390.3593.887Dec 23, 2025

Evaluation results

MethodLinks
Multi-Sensor Attention NetworkLearning Rate=5e-42025.1296.999.985.9
Multi-Sensor Attention NetworkLearning Rate=1e-32025.1296.399.785.2
Multi-Sensor Attention NetworkLearning Rate=1e-42025.1295.699.684.4
Multi-Sensor Attention NetworkLearning Rate=5e-32025.1295.199.583.9
Multi-Sensor Attention NetworkLearning Rate=5e-52025.1294.899.483.6
Simple CNNLearning Rate=5e-42025.1294.292.892.8
Simple CNNLearning Rate=1e-32025.1293.892.492.2
Multi-Sensor Attention NetworkLearning Rate=1e-52025.1293.799.182.5
Simple CNNLearning Rate=1e-42025.1293.592.292
Simple CNNLearning Rate=5e-52025.1292.891.591.2
Simple CNNLearning Rate=5e-32025.1292.591.891.5
Simple CNNLearning Rate=1e-52025.129290.890.5
Decision TreeLearning Rate=1e-52025.1285.264.583.5
Decision TreeLearning Rate=5e-52025.1285.264.583.5
Decision TreeLearning Rate=1e-42025.1285.264.583.5
Decision TreeLearning Rate=5e-42025.1285.264.583.5
Decision TreeLearning Rate=1e-32025.1285.264.583.5
Decision TreeLearning Rate=5e-32025.1285.264.583.5
Random ForestLearning Rate=1e-52025.1284.874.881.8
Random ForestLearning Rate=5e-52025.1284.874.881.8
Random ForestLearning Rate=1e-42025.1284.874.881.8
Random ForestLearning Rate=5e-42025.1284.874.881.8
Random ForestLearning Rate=1e-32025.1284.874.881.8
Random ForestLearning Rate=5e-32025.1284.874.881.8
SVM (RBF)Learning Rate=1e-52025.1283.869.879.2
SVM (RBF)Learning Rate=5e-52025.1283.869.879.2
SVM (RBF)Learning Rate=1e-42025.1283.869.879.2
SVM (RBF)Learning Rate=5e-42025.1283.869.879.2
SVM (RBF)Learning Rate=1e-32025.1283.869.879.2
SVM (RBF)Learning Rate=5e-32025.1283.869.879.2