liu xinyu / 疲劳检测 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 F1 score Result
910 疲劳状态 0%
624 疲劳状态 100%
614 疲劳状态 100%
541 疲劳状态 100%
532 疲劳状态 100%
528 疲劳状态 100%
522 疲劳状态 100%
519 疲劳状态 100%
507 疲劳状态 100%
415 疲劳状态 100%
413 疲劳状态 100%
304 疲劳状态 100%
2257 疲劳状态 100%
2224 疲劳状态 100%
2172 疲劳状态 100%
1962 疲劳状态 100%
1960 疲劳状态 100%
1953 疲劳状态 66%
1048 疲劳状态 66%
0 疲劳状态 0%
175 疲劳状态 0%
176 疲劳状态 0%
438 正常状态 0%
4122 正常状态 100%
4094 正常状态 100%
4088 正常状态 100%
4084 正常状态 100%
4073 正常状态 100%
3297 正常状态 100%
3309 正常状态 100%
3248 正常状态 100%
3156 正常状态 100%
3138 正常状态 100%
3127 正常状态 100%
3002 正常状态 100%
2979 正常状态 100%
2947 正常状态 100%
2852 正常状态 66%
2835 正常状态 100%
2585 正常状态 66%
2655 正常状态 66%
2487 正常状态 66%
2331 正常状态 66%
2210 正常状态 66%
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Model testing output

Results

Model version:
Precision (non-background) 0.80
Recall (non-background) 0.89
F1 Score (non-background) 0.84
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