Edge Impulse Experts / Liquid classification Public
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Test data

Set confidence thresholds
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.
Sample name Expected outcome Length Accuracy Result
testing.3fg1jol1 testing 9s 9 air
Show classification Show in data acquisition
testing.3fg1gj0l testing 9s 9 seawater
Show classification Show in data acquisition
testing.3fg1elua testing 9s 9 tapwater
Show classification Show in data acquisition
testing.3fg1cvau testing 9s 9 tea
Show classification Show in data acquisition
tea.3fg02d50 tea 9s 100% 9 tea
Show classification Show in data acquisition
tea.3ffvu8b2 tea 9s 100% 9 tea
Show classification Show in data acquisition
seawater.3ffvg8j4 seawater 9s 100% 9 seawater
Show classification Show in data acquisition
seawater.3ffvdrqg seawater 9s 100% 9 seawater
Show classification Show in data acquisition
seawater.3ffvbnqf seawater 9s 100% 9 seawater
Show classification Show in data acquisition
tapwater.3ffunm9p tapwater 9s 100% 9 tapwater
Show classification Show in data acquisition
tapwater.3ffun0hu tapwater 9s 100% 9 tapwater
Show classification Show in data acquisition
tapwater.3ffufspc tapwater 9s 89% 8 tapwater, 1 tea
Show classification Show in data acquisition
air.3fftid8o air 10s 100% 10 air
Show classification Show in data acquisition
air.3ffnrqpt air 10s 100% 10 air
Show classification Show in data acquisition

Model testing output

Results

Model version:
Accuracy
98.91%

Confusion matrix

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Feature explorer

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