Shebin Jose Jacob / Automated Inventory Management Public
Target: Cortex-M4F 80MHz Clone this project

Test data

Set 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.

Apply filters

Sample name Expected outcome F1 score Result
Items Biscuit, Biscuit, Drink, Drink 100%
Show classification Show in data acquisition Show in feature explorer
Items Biscuit, Drink, Drink 100%
Show classification Show in data acquisition Show in feature explorer
Items Biscuit, Biscuit, Drink, Drink, Drink 100%
Show classification Show in data acquisition Show in feature explorer
Items Biscuit, Biscuit, Biscuit, Drink, Drink, Drink 100%
Show classification Show in data acquisition Show in feature explorer
Items Biscuit, Biscuit, Biscuit, Drink, Drink, Drink, Drink 100%
Show classification Show in data acquisition Show in feature explorer
Items Biscuit, Biscuit, Drink, Drink, Drink, Drink 100%
Show classification Show in data acquisition Show in feature explorer
Items Biscuit, Biscuit, Drink, Drink, Drink, Drink 100%
Show classification Show in data acquisition Show in feature explorer
Items Biscuit, Biscuit, Drink, Drink, Drink, Drink 100%
Show classification Show in data acquisition Show in feature explorer
Items Biscuit, Biscuit, Drink, Drink, Drink, Drink 100%
Show classification Show in data acquisition Show in feature explorer
Items Biscuit, Biscuit, Biscuit, Drink, Drink, Drink, Drink 92%
Show classification Show in data acquisition Show in feature explorer
Items Biscuit, Biscuit, Biscuit, Drink, Drink, Drink, Drink 92%
Show classification Show in data acquisition Show in feature explorer
Items Biscuit, Biscuit, Biscuit, Biscuit, Drink, Drink, Drink, Drink 93%
Show classification Show in data acquisition Show in feature explorer
Items Biscuit, Biscuit, Biscuit, Biscuit, Drink, Drink, Drink, Drink 93%
Show classification Show in data acquisition Show in feature explorer
Items Biscuit, Biscuit, Drink, Drink, Drink 100%
Show classification Show in data acquisition Show in feature explorer
Items Biscuit, Biscuit, Drink, Drink 100%
Show classification Show in data acquisition Show in feature explorer
Items Biscuit, Drink 100%
Show classification Show in data acquisition Show in feature explorer
Items Biscuit, Drink, Drink 100%
Show classification Show in data acquisition Show in feature explorer
Items Biscuit, Drink, Drink 100%
Show classification Show in data acquisition Show in feature explorer
Items Biscuit, Biscuit, Drink, Drink 100%
Show classification Show in data acquisition Show in feature explorer
Items Biscuit, Biscuit, Drink, Drink 100%
Show classification Show in data acquisition Show in feature explorer
Items Biscuit, Biscuit, Drink, Drink, Drink 100%
Show classification Show in data acquisition Show in feature explorer
Items Biscuit, Biscuit, Drink, Drink, Drink 100%
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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