Edge Impulse Experts / Blues_test Public
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Test data

Set the 'expected outcome' for each sample to the desired outcome to automatically score the impulse.
Sample name Expected outcome Length Accuracy Result
idle.3naq7bh6 idle 5s 100% 16 idle
Show classification Show in data acquisition
idle.3n34n6aj Riding 5s 63% 10 Riding, 5 crash, 1 uncertain
Show classification Show in data acquisition
idle.3n34kar2 Riding 5s 100% 16 Riding
Show classification Show in data acquisition
idle.3n34hl9p Riding 5s 63% 10 Riding, 6 crash
Show classification Show in data acquisition
idle.3n34efhd Riding 5s 100% 16 Riding
Show classification Show in data acquisition
idle.3n34bsji Riding 5s 100% 16 Riding
Show classification Show in data acquisition
idle.3n34a1lp Riding 5s 100% 16 Riding
Show classification Show in data acquisition
idle.3n348grp Riding 5s 100% 16 Riding
Show classification Show in data acquisition
idle.3n346ccr Riding 5s 81% 13 Riding, 2 crash, 1 uncertain
Show classification Show in data acquisition
idle.3n342kcs Riding 5s 100% 16 Riding
Show classification Show in data acquisition
idle.3n3414ak Riding 5s 100% 16 Riding
Show classification Show in data acquisition
idle.3n33vq1h Riding 5s 6% 15 crash, 1 Riding
Show classification Show in data acquisition
idle.3n33jgg1 idle 5s 100% 16 idle
Show classification Show in data acquisition
idle.3n24lht5 idle 5s 100% 16 idle
Show classification Show in data acquisition
idle.3n24ionf idle 5s 100% 16 idle
Show classification Show in data acquisition
idle.3n24fuj2 idle 5s 100% 16 idle
Show classification Show in data acquisition

Model testing output

Model testing results

Accuracy
88.28%

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