Edge Impulse Inc. / Anomaly detection - Hydraulic Nominal Only (GMM) 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
testing_failure_73 anomaly 6s 402.93 100% anomaly
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testing_failure_207 anomaly 6s 441.31 100% anomaly
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testing_failure_86 anomaly 6s 410.48 100% anomaly
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testing_failure_33 anomaly 6s 298.79 100% anomaly
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testing_failure_177 anomaly 6s 384.00 100% anomaly
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testing_failure_180 anomaly 6s 393.19 100% anomaly
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testing_failure_135 anomaly 6s 445.87 100% anomaly
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testing_failure_209 anomaly 6s 412.58 100% anomaly
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testing_failure_204 anomaly 6s 434.55 100% anomaly
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testing_failure_50 anomaly 6s 349.02 100% anomaly
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testing_failure_62 anomaly 6s 383.45 100% anomaly
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testing_failure_150 anomaly 6s 427.85 100% anomaly
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testing_failure_162 anomaly 6s 415.34 100% anomaly
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testing_failure_154 anomaly 6s 445.75 100% anomaly
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testing_failure_138 anomaly 6s 411.19 100% anomaly
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testing_failure_137 anomaly 6s 449.45 100% anomaly
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testing_failure_191 anomaly 6s 448.47 100% anomaly
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testing_failure_116 anomaly 6s 429.95 100% anomaly
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testing_failure_183 anomaly 6s 439.99 100% anomaly
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testing_failure_142 anomaly 6s 414.65 100% anomaly
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testing_failure_104 anomaly 6s 434.42 100% anomaly
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testing_failure_109 anomaly 6s 441.15 100% anomaly
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testing_nominal_2065 nominal 6s 0.88 no anomaly
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testing_nominal_1600 nominal 6s 0.50 no anomaly
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testing_nominal_1570 nominal 6s 0.21 no anomaly
Show classification Show in data acquisition
testing_nominal_1619 nominal 6s 0.41 no anomaly
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testing_nominal_1553 nominal 6s 0.39 no anomaly
Show classification Show in data acquisition
testing_nominal_1551 nominal 6s 0.63 no anomaly
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testing_nominal_1660 nominal 6s 0.19 no anomaly
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testing_nominal_1621 nominal 6s 0.56 no anomaly
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testing_nominal_1649 nominal 6s 0.57 no anomaly
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testing_nominal_1586 nominal 6s 0.39 no anomaly
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testing_nominal_1628 nominal 6s 0.56 no anomaly
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testing_nominal_1642 nominal 6s 0.27 no anomaly
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testing_nominal_1606 nominal 6s 0.44 no anomaly
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testing_nominal_1524 nominal 6s 0.68 no anomaly
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testing_nominal_1535 nominal 6s 0.26 no anomaly
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testing_nominal_1562 nominal 6s 0.60 no anomaly
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testing_nominal_1503 nominal 6s 0.75 no anomaly
Show classification Show in data acquisition
testing_nominal_1538 nominal 6s 0.39 no anomaly
Show classification Show in data acquisition
testing_nominal_1567 nominal 6s 0.32 no anomaly
Show classification Show in data acquisition
testing_nominal_1526 nominal 6s 0.22 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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