Edge Impulse Experts / pcba-anomaly-detection-deepx Public
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
bad_13 anomaly 6.10 100% anomaly
bad_15 anomaly 5.87 100% anomaly
bad_20 anomaly 6.13 100% anomaly
bad_17 anomaly 6.24 100% anomaly
bad_18 anomaly 6.08 100% anomaly
bad_12 anomaly 5.83 100% anomaly
bad_11 anomaly 6.17 100% anomaly
bad_14 anomaly 6.08 100% anomaly
bad_19 anomaly 6.11 100% anomaly
bad_21 anomaly 6.02 100% anomaly
bad_16 anomaly 5.91 100% anomaly
bad_1 anomaly 3.82 0% no anomaly
bad_5 anomaly 3.62 0% no anomaly
good_82 no anomaly 3.08 100% no anomaly
good_129 no anomaly 3.38 100% no anomaly
good_77 no anomaly 3.44 100% no anomaly
good_126 no anomaly 3.28 100% no anomaly
good_122 no anomaly 3.04 100% no anomaly
good_130 no anomaly 3.30 100% no anomaly
good_114 no anomaly 3.31 100% no anomaly
bad_74 anomaly 3.51 0% no anomaly
good_92 no anomaly 2.97 100% no anomaly
good_79 no anomaly 3.06 100% no anomaly
good_83 no anomaly 3.12 100% no anomaly
good_97 no anomaly 3.16 100% no anomaly
good_113 no anomaly 3.26 100% no anomaly
good_78 no anomaly 3.18 100% no anomaly
good_128 no anomaly 3.52 100% no anomaly
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Model testing output

Results

Model version:
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