Nekhil R / Vandalism Detection Public
Set the 'expected outcome' for each sample to the desired outcome to automatically score the impulse.
Sample name Expected outcome Length Accuracy Result
noise.3g63njro Noise 2s 100% 1 Noise
noise.3g63nf6i Noise 2s 100% 1 Noise
noise.3g63mr9h Noise 2s 0% 1 Glass_Break
noise.3g63lq3a Noise 2s 100% 1 Noise
Glass_Break.3g62e81i.s4 Glass_Break 2s 100% 1 Glass_Break
Glass_Break.3g62e81i.s7 Glass_Break 2s 100% 1 Glass_Break
Glass_Break.3g62e81i.s8 Glass_Break 2s 100% 1 Glass_Break
Glass_Break.3g62e81i.s9 Glass_Break 2s 100% 1 Glass_Break
Noise.3fv8ungo.s2 Noise 4s 100% 5 Noise
Noise.3fv8ungo.s1 Noise 4s 100% 5 Noise
Noise.3fv8sso5.s5 Noise 4s 100% 5 Noise
Noise.3fv8ungo.s3 Noise 4s 100% 5 Noise
Noise.3fv8sso5.s4 Noise 4s 100% 5 Noise
Noise.3fv8sso5.s1 Noise 4s 100% 5 Noise
Noise.3fv8pq47.s4 Noise 4s 100% 5 Noise
Noise.3fv8sso5.s2 Noise 4s 100% 5 Noise
Noise.3fv7t9g0.s1 Noise 4s 100% 5 Noise
Munching_4.s2 Noise 4s 100% 5 Noise
NeighborSpeaking_4.s2 Noise 4s 100% 5 Noise
AirportAnnouncements_1.s4 Noise 4s 100% 5 Noise
AirConditioner_3.s3 Noise 4s 100% 5 Noise

Model testing output

Results

Model version:
Glass_BreakNoiseuncertain
Glass_Break84.1%14.5%1.4%
Noise1.4%98.6%0%
f1 score0.910.93
Error while loading features: {"response":{"readyState":0,"status":0,"statusText":"error"},"errorThrown":""}