Nick Bild / security_bot_audio Public
Target: Cortex-M4F 80MHz Clone this project

Test data

Set confidence thresholds
Model variants
No additional model variants available Test 'Unoptimized (float32)' model
Set the 'expected outcome' for each sample to the desired outcome to automatically score the impulse.
Sample name Expected outcome Length Anomaly Accuracy Result
anomaly_12 anomaly 952ms 6.02 100% anomaly
Show classification Show in data acquisition
anomaly_11 anomaly 952ms 7.24 100% anomaly
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anomaly_10 anomaly 952ms 6.95 100% anomaly
Show classification Show in data acquisition
anomaly_9 anomaly 952ms 8.97 100% anomaly
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anomaly_8 anomaly 952ms 8.09 100% anomaly
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anomaly_7 anomaly 952ms 8.04 100% anomaly
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anomaly_6 anomaly 952ms 8.17 100% anomaly
Show classification Show in data acquisition
anomaly_5 anomaly 952ms 7.72 100% anomaly
Show classification Show in data acquisition
anomaly_4 anomaly 952ms 5.20 100% anomaly
Show classification Show in data acquisition
anomaly_3 anomaly 952ms 8.34 100% anomaly
Show classification Show in data acquisition
anomaly_2 anomaly 952ms 8.31 100% anomaly
Show classification Show in data acquisition
anomaly_1 anomaly 952ms 5.61 100% anomaly
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anomaly_0 anomaly 952ms 6.80 100% anomaly
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normal_10 no anomaly 952ms -0.30 100% no anomaly
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normal_13 no anomaly 952ms -0.11 100% no anomaly
Show classification Show in data acquisition
normal_12 no anomaly 952ms -0.06 100% no anomaly
Show classification Show in data acquisition
normal_15 no anomaly 952ms 0.19 100% no anomaly
Show classification Show in data acquisition
normal_21 no anomaly 952ms 0.19 100% no anomaly
Show classification Show in data acquisition
normal_3 no anomaly 952ms 0.11 100% no anomaly
Show classification Show in data acquisition
normal_32 no anomaly 952ms 0.11 100% no anomaly
Show classification Show in data acquisition
normal_38 no anomaly 952ms -0.72 100% no anomaly
Show classification Show in data acquisition
normal_71 no anomaly 952ms -0.91 100% no anomaly
Show classification Show in data acquisition

Model testing output

Results

Model version:
Accuracy
100.00%

Confusion matrix

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Feature explorer

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