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Classification on Forest River South Bound (test)

84.2AccuracySimple CNN
73.38476.1927981.808Dec 23, 2025

Evaluation results

MethodLinks
Simple CNNLearning Rate=5e-42025.1284.27575.4
Simple CNNLearning Rate=1e-32025.1283.574.374.7
Simple CNNLearning Rate=1e-42025.128373.874.2
Simple CNNLearning Rate=5e-32025.1282.272.873.5
Simple CNNLearning Rate=5e-52025.1281.872.573
Simple CNNLearning Rate=1e-52025.1280.571.271.8
SVM (RBF)Learning Rate=1e-52025.1280.26171.4
SVM (RBF)Learning Rate=5e-52025.1280.26171.4
SVM (RBF)Learning Rate=1e-42025.1280.26171.4
SVM (RBF)Learning Rate=5e-42025.1280.26171.4
SVM (RBF)Learning Rate=1e-32025.1280.26171.4
SVM (RBF)Learning Rate=5e-32025.1280.26171.4
Random ForestLearning Rate=1e-52025.1280.265.171.6
Random ForestLearning Rate=5e-52025.1280.265.171.6
Random ForestLearning Rate=1e-42025.1280.265.171.6
Random ForestLearning Rate=5e-42025.1280.265.171.6
Random ForestLearning Rate=1e-32025.1280.265.171.6
Random ForestLearning Rate=5e-32025.1280.265.171.6
Multi-Sensor Attention NetworkLearning Rate=5e-42025.127892.574.5
Multi-Sensor Attention NetworkLearning Rate=1e-32025.127792.173.4
Multi-Sensor Attention NetworkLearning Rate=1e-42025.1276.591.572.5
Multi-Sensor Attention NetworkLearning Rate=5e-32025.1275.891.272
Multi-Sensor Attention NetworkLearning Rate=5e-52025.1275.79171.8
Multi-Sensor Attention NetworkLearning Rate=1e-52025.1274.590.270.6
Decision TreeLearning Rate=1e-52025.1273.859.571
Decision TreeLearning Rate=5e-52025.1273.859.571
Decision TreeLearning Rate=1e-42025.1273.859.571
Decision TreeLearning Rate=5e-42025.1273.859.571
Decision TreeLearning Rate=1e-32025.1273.859.571
Decision TreeLearning Rate=5e-32025.1273.859.571