Edge Impulse Experts / AI-driven HVAC Fault Diagnosis (Audio) Public
Set the 'expected outcome' for each sample to the desired outcome to automatically score the impulse.
Sample name Expected outcome Length Accuracy Result
audio_defective__2024_05_28_10_56_25 defective 2s 100% 3 defective
audio_defective__2024_05_28_10_56_22 defective 2s 100% 3 defective
audio_defective__2024_05_28_10_56_18 defective 2s 100% 3 defective
audio_defective__2024_05_28_10_56_12 defective 2s 100% 3 defective
audio_defective__2024_05_28_10_56_08 defective 2s 100% 3 defective
audio_defective__2024_05_28_10_56_15 defective 2s 100% 3 defective
audio_normal__2024_05_28_10_55_32 normal 2s 100% 3 normal
audio_normal__2024_05_28_10_55_28 normal 2s 100% 3 normal
audio_normal__2024_05_28_10_55_22 normal 2s 100% 3 normal
audio_normal__2024_05_28_10_55_26 normal 2s 100% 3 normal
audio_normal__2024_05_28_10_55_16 normal 2s 100% 3 normal
audio_normal__2024_05_28_10_55_19 normal 2s 100% 3 normal

Model testing output

Results

Model version:
Area under ROC Curve 1.00
Weighted average Precision 1.00
Weighted average Recall 1.00
Weighted average F1 score 1.00
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