Nekhil R / Accident reporting by Keyword spotting Public
Set the 'expected outcome' for each sample to the desired outcome to automatically score the impulse.
Sample name Expected outcome Length Accuracy Result
testing.3lefibns testing 5s 3 Accident, 3 Noise, 2 Unknown, 1 uncertain
testing.3lefgdsp testing 5s 4 Noise, 2 Accident, 2 uncertain, 1 Unknown
Accident.3l5raomu.s4 Accident 1s 100% 1 Accident
Accident.3l5rcous.s7 Accident 1s 100% 1 Accident
Accident.3l5rcous.s2 Accident 1s 100% 1 Accident
Accident.3l5r9d24.s3 Accident 1s 100% 1 Accident
Accident.3l5r4b52.s5 Accident 1s 100% 1 Accident
Accident.3l5r5t2k.s5 Accident 1s 100% 1 Accident
Accident.3l5r7223.s7 Accident 1s 100% 1 Accident
Accident.3l5r7223.s2 Accident 1s 100% 1 Accident
Accident.3l3pes69.s1 Accident 1s 100% 1 Accident
Accident.3kk2jrg9.s1 Accident 1s 100% 1 Accident
Accident.3kk2n2o3.s1 Accident 1s 100% 1 Accident
Accident.3kk2uhro.s2 Accident 1s 100% 1 Accident
Accident.3l3ofjq7.s11 Accident 1s 100% 1 Accident
Accident.3l3ofjq7.s6 Accident 1s 100% 1 Accident
Accident.3l3ofjq7.s1 Accident 1s 100% 1 Accident
Accident.3l3oagb1.s12 Accident 1s 100% 1 Accident
Accident.3l3oagb1.s3 Accident 1s 100% 1 Accident
Accident.3l3ntaek.s11 Accident 1s 100% 1 Accident
Accident.3l3nq35k.s12 Accident 1s 100% 1 Accident

Model testing output

Results

Model version:
AccidentNoiseUnknownuncertain
Accident87.8%1.1%3.3%7.8%
Noise1.0%88.8%3.1%7.1%
Unknown5.1%3.1%84.7%7.1%
f1 score0.900.920.89
Error while loading features: {"response":{"readyState":0,"status":0,"statusText":"error"},"errorThrown":""}