Jan / Emergency vehices alarm Public
Set the 'expected outcome' for each sample to the desired outcome to automatically score the impulse.
Sample name Expected outcome Length Accuracy Result
ambulance389_03 SIREN 1s 100% 1 SIREN
ambulance388_8 SIREN 1s 100% 1 SIREN
ambulance381_05 SIREN 1s 100% 1 SIREN
ambulance379_10 SIREN 1s 100% 1 SIREN
ambulance379_11 SIREN 1s 100% 1 SIREN
ambulance377_5 SIREN 1s 100% 1 SIREN
ambulance377_2 SIREN 1s 100% 1 SIREN
ambulance371_09 SIREN 1s 100% 1 SIREN
ambulance371_02 SIREN 1s 100% 1 SIREN
ambulance369_7 SIREN 1s 100% 1 SIREN
ambulance369_4 SIREN 1s 100% 1 SIREN
ambulance368_8 SIREN 1s 100% 1 SIREN
ambulance364_5 SIREN 1s 100% 1 SIREN
ambulance358_7 SIREN 1s 100% 1 SIREN
ambulance359_1 SIREN 1s 100% 1 SIREN
ambulance357_10 SIREN 1s 100% 1 SIREN
ambulance355_05 SIREN 1s 100% 1 SIREN
ambulance355_04 SIREN 1s 100% 1 SIREN
ambulance352_02 SIREN 1s 100% 1 SIREN
ambulance350_1 SIREN 1s 100% 1 SIREN
ambulance349_5 SIREN 1s 100% 1 SIREN

Model testing output

Results

Model version:
NoiseSIRENuncertain
Noise98.1%1.0%0.9%
SIREN3.2%94.4%2.5%
f1 score0.980.97
Error while loading features: {"response":{"readyState":0,"status":0,"statusText":"error"},"errorThrown":""}