yuki / Road-Surface-Recognition Public
Set the 'expected outcome' for each sample to the desired outcome to automatically score the impulse.

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Sample name Expected outcome Length Accuracy Result
smooth-flat-30km_h.s7 smooth 5s 38% 5 uncertain, 3 smooth
smooth-flat-30km_h.s2 smooth 5s 0% 4 medium, 4 uncertain
medium-pavement-4.s5 medium 5s 38% 4 uncertain, 3 medium, 1 rough
medium-pavement-12.s2 rough 5s 0% 8 medium
unpaved-road(grass)-1.s2 rough 5s 0% 8 uncertain
sprint-5.s9 sprint 5s 100% 8 sprint
sprint-5.s4 sprint 5s 100% 8 sprint
sprint-4.s4 sprint 5s 0% 7 medium, 1 uncertain
sprint-3.s7 sprint 5s 50% 4 sprint, 3 uncertain, 1 medium
sprint-3.s2 sprint 5s 100% 8 sprint
sprint-2.s2 sprint 5s 100% 9 sprint
sprint-1.s9 sprint 5s 100% 8 sprint
sprint-1.s4 sprint 5s 100% 8 sprint
idle-uphill-1.s5 idle 5s 100% 8 idle
idle-3.s5 idle 5s 100% 8 idle
idle-2.s12 idle 5s 100% 8 idle
idle-2.s7 idle 5s 0% 6 smooth, 2 uncertain
idle-2.s2 idle 5s 100% 8 idle
idle-1.s12 idle 5s 100% 8 idle
idle-1.s9 idle 5s 100% 8 idle
idle-1.s4 idle 5s 100% 8 idle
medium-pavement-7.s6 medium 5s 0% 8 smooth
medium-pavement-7.s1 medium 5s 50% 4 medium, 4 uncertain
smooth-flat-4.s9 smooth 5s 100% 8 smooth
smooth-flat-4.s4 smooth 5s 38% 5 uncertain, 3 smooth
gravel-5.s4 rough 5s 0% 8 medium
gravel-4-small.s1 rough 5s 100% 8 rough
medium-pavement-1.s3 medium 5s 0% 8 uncertain
smooth-flat-3.s6 smooth 5s 100% 8 smooth
smooth-flat-3.s1 smooth 5s 0% 7 uncertain, 1 rough
gravel-3.s7 rough 5s 100% 8 rough
gravel-3.s2 rough 5s 100% 8 rough
medium-pavement-8.s8 medium 5s 50% 4 medium, 4 uncertain
medium-pavement-8.s3 medium 5s 0% 5 uncertain, 3 smooth
smooth-flat-2.s4 smooth 5s 75% 6 smooth, 2 uncertain
gravel-2.s3 rough 5s 50% 4 rough, 4 uncertain
gravel-1.s5 rough 5s 0% 8 uncertain
medium-pavement-9.s15 medium 5s 75% 6 medium, 1 rough, 1 uncertain
medium-pavement-9.s10 medium 5s 0% 6 uncertain, 2 rough
medium-pavement-9.s5 medium 5s 50% 4 medium, 4 uncertain
smooth-flat-1.s10 smooth 5s 100% 8 smooth
smooth-flat-1.s5 smooth 5s 100% 8 smooth
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Model testing output

Results

Model version:
Area under ROC Curve 0.94
Weighted average Precision 0.76
Weighted average Recall 0.74
Weighted average F1 score 0.74
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