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Vehicle Classification on Vehicle Dataset 5-fold cross-validation

100Mean Accuracy

Decision Tree

78.1683.8389.595.17May 8, 2026
Updated 2mo ago

Evaluation Results

MethodLinks
2026.05
1000
2026.05
1000
2026.05
1000
2026.05
1000
2026.05
1000
2026.05
1000
2026.05
99.80.002
2026.05
99.60.004
2026.05
99.40.002
2026.05
99.40.002
2026.05
99.40.002
2026.05
99.30.006
2026.05
99.30.002
2026.05
990.006
2026.05
990.006
2026.05
98.80.008
2026.05
98.70.004
2026.05
98.60.001
2026.05
98.50.001
2026.05
98.50.01
2026.05
98.50.006
2026.05
98.50.006
2026.05
98.50.006
2026.05
98.40.006
2026.05
98.40.009
2026.05
98.40.007
2026.05
98.30.001
2026.05
98.10.008
2026.05
98.10.005
2026.05
980.018
2026.05
980.018
2026.05
980.005
2026.05
980.009
2026.05
97.90.008
2026.05
97.90.012
2026.05
97.80.02
2026.05
97.80.02
2026.05
97.80.02
2026.05
97.60.013
2026.05
97.50.022
2026.05
97.50.022
2026.05
97.50.009
2026.05
97.40.011
2026.05
97.40.008
2026.05
97.20.004
2026.05
96.70.005
2026.05
96.50.013
2026.05
96.50.021
2026.05
960.036
2026.05
95.60.024
2026.05
93.50.019
2026.05
92.50.045
2026.05
920.044
2026.05
920.044
2026.05
91.80.034
2026.05
91.30.022
2026.05
900.089
2026.05
89.90.026
2026.05
830.106
2026.05
790.098