Edge Impulse Experts / AI-driven HVAC Fault Diagnosis (Thermal) Public
Target: Cortex-M4F 80MHz Clone this project

Test data

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Model variants
Test 'Unoptimized (float32)' model Test 'Quantized (int8)' model
Set the 'expected outcome' for each sample to the desired outcome to automatically score the impulse.

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Sample name Expected outcome Anomaly Accuracy Result
sample__2024_06_01_16_57_48 anomaly 29.92 100% anomaly
Show classification Show in data acquisition Show in feature explorer
sample__2024_06_01_17_04_38 anomaly 32.87 100% anomaly
Show classification Show in data acquisition Show in feature explorer
sample__2024_06_01_17_14_53 anomaly 30.21 100% anomaly
Show classification Show in data acquisition Show in feature explorer
sample__2024_06_01_16_50_58 anomaly 30.14 100% anomaly
Show classification Show in data acquisition Show in feature explorer
sample__2024_06_01_17_01_13 anomaly 31.74 100% anomaly
Show classification Show in data acquisition Show in feature explorer
sample__2024_06_01_16_37_18 anomaly 28.96 100% anomaly
Show classification Show in data acquisition Show in feature explorer
sample__2024_06_01_17_11_28 anomaly 28.28 100% anomaly
Show classification Show in data acquisition Show in feature explorer
sample__2024_06_01_16_30_28 anomaly 30.99 100% anomaly
Show classification Show in data acquisition Show in feature explorer
sample__2024_06_01_16_54_23 anomaly 31.25 100% anomaly
Show classification Show in data acquisition Show in feature explorer
sample__2024_06_01_16_44_08 anomaly 30.61 100% anomaly
Show classification Show in data acquisition Show in feature explorer
sample__2024_06_01_16_40_43 anomaly 28.61 100% anomaly
Show classification Show in data acquisition Show in feature explorer
sample__2024_06_01_16_47_33 anomaly 30.82 100% anomaly
Show classification Show in data acquisition Show in feature explorer
sample__2024_06_01_16_33_53 anomaly 34.92 100% anomaly
Show classification Show in data acquisition Show in feature explorer
sample__2024_06_01_17_18_18 anomaly 30.17 100% anomaly
Show classification Show in data acquisition Show in feature explorer
sample__2024_06_01_17_08_03 anomaly 29.43 100% anomaly
Show classification Show in data acquisition Show in feature explorer
sample__2024_06_01_16_09_58 anomaly 33.06 100% anomaly
Show classification Show in data acquisition Show in feature explorer
sample__2024_06_01_16_16_48 anomaly 33.00 100% anomaly
Show classification Show in data acquisition Show in feature explorer
sample__2024_06_01_16_20_13 anomaly 38.96 100% anomaly
Show classification Show in data acquisition Show in feature explorer
sample__2024_06_01_15_39_13 anomaly 30.88 100% anomaly
Show classification Show in data acquisition Show in feature explorer
sample__2024_06_01_16_03_08 anomaly 29.94 100% anomaly
Show classification Show in data acquisition Show in feature explorer
sample__2024_06_01_15_56_18 anomaly 31.85 100% anomaly
Show classification Show in data acquisition Show in feature explorer
sample__2024_06_01_15_46_03 anomaly 31.82 100% anomaly
Show classification Show in data acquisition Show in feature explorer
sample__2024_06_01_15_49_28 anomaly 32.46 100% anomaly
Show classification Show in data acquisition Show in feature explorer
sample__2024_06_01_16_13_23 anomaly 34.92 100% anomaly
Show classification Show in data acquisition Show in feature explorer
sample__2024_06_01_15_25_33 anomaly 33.36 100% anomaly
Show classification Show in data acquisition Show in feature explorer
sample__2024_06_01_15_22_08 anomaly 30.17 100% anomaly
Show classification Show in data acquisition Show in feature explorer
sample__2024_06_01_15_52_53 anomaly 29.40 100% anomaly
Show classification Show in data acquisition Show in feature explorer
sample__2024_06_01_15_28_58 anomaly 28.77 100% anomaly
Show classification Show in data acquisition Show in feature explorer
sample__2024_06_01_15_59_43 anomaly 34.31 100% anomaly
Show classification Show in data acquisition Show in feature explorer
sample__2024_06_01_15_42_38 anomaly 26.76 100% anomaly
Show classification Show in data acquisition Show in feature explorer
sample__2024_06_01_15_32_23 anomaly 27.46 100% anomaly
Show classification Show in data acquisition Show in feature explorer
sample__2024_06_01_16_06_33 anomaly 33.81 100% anomaly
Show classification Show in data acquisition Show in feature explorer
sample__2024_06_01_16_23_38 anomaly 27.32 100% anomaly
Show classification Show in data acquisition Show in feature explorer
sample__2024_06_01_16_27_03 anomaly 30.44 100% anomaly
Show classification Show in data acquisition Show in feature explorer
sample__2024_06_01_15_35_48 anomaly 28.43 100% anomaly
Show classification Show in data acquisition Show in feature explorer
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Model testing output

Results

Model version:
Accuracy
100.00%

Confusion matrix

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Feature explorer

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