Manivannan / Smart AI Bottle Preparation Public
Target: Arduino Nano 33 BLE Sense (Cortex-M4F 64MHz) 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
testing.6d9dvdhd testing 10s 17 Baby cry
Show classification Show in data acquisition Show in feature explorer
Roomnoise_1 Room Noise 10s 100% 17 Room Noise
Show classification Show in data acquisition Show in feature explorer
Roomnoise_2 Room Noise 10s 100% 17 Room Noise
Show classification Show in data acquisition Show in feature explorer
Babycry_2 Baby cry 10s 100% 17 Baby cry
Show classification Show in data acquisition Show in feature explorer
Babycry_1 Baby cry 10s 100% 17 Baby cry
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 NN 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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