Rob / Edge Impulse Imagine 2024 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 Length Accuracy Result
high.56eivd88 invalid 10s 100% 10 invalid
Show classification Show in data acquisition Show in feature explorer
high.56eis50r invalid 10s 100% 10 invalid
Show classification Show in data acquisition Show in feature explorer
high.56eiq0p4 invalid 10s 100% 10 invalid
Show classification Show in data acquisition Show in feature explorer
high.56eikern invalid 10s 100% 10 invalid
Show classification Show in data acquisition Show in feature explorer
medium.56eidpp4 medium 10s 100% 10 medium
Show classification Show in data acquisition Show in feature explorer
medium.56eiafcp medium 10s 100% 10 medium
Show classification Show in data acquisition Show in feature explorer
medium.56ei6o5i medium 10s 100% 10 medium
Show classification Show in data acquisition Show in feature explorer
medium.56ei3gau medium 10s 100% 10 medium
Show classification Show in data acquisition Show in feature explorer
medium.56ei1bb7 medium 10s 100% 10 medium
Show classification Show in data acquisition Show in feature explorer
medium.56ei0s00 medium 10s 100% 10 medium
Show classification Show in data acquisition Show in feature explorer
low.56ehu6gf low 10s 100% 10 low
Show classification Show in data acquisition Show in feature explorer
low.56ehtnpl low 10s 100% 10 low
Show classification Show in data acquisition Show in feature explorer
low.56ehrt2i low 10s 100% 10 low
Show classification Show in data acquisition Show in feature explorer
low.56ehre2b low 10s 100% 10 low
Show classification Show in data acquisition Show in feature explorer
low.56ehptj6 low 10s 100% 10 low
Show classification Show in data acquisition Show in feature explorer
low.56ehohf1 low 10s 100% 10 low
Show classification Show in data acquisition Show in feature explorer
off.56ehbkn3 invalid 10s 100% 10 invalid
Show classification Show in data acquisition Show in feature explorer
off.56eha8al invalid 10s 100% 10 invalid
Show classification Show in data acquisition Show in feature explorer
off.56eh802n invalid 10s 100% 10 invalid
Show classification Show in data acquisition Show in feature explorer
off.56eh738s invalid 10s 100% 10 invalid
Show classification Show in data acquisition Show in feature explorer
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Model testing output

Results

Model version:
Accuracy
100.00%

Metrics for Classifier

Metric Value
Area under ROC Curve 1.00
Weighted average Precision 1.00
Weighted average Recall 1.00
Weighted average F1 score 1.00

Confusion matrix

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Feature explorer

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