jpteixeira / Fiap_MBA_DSA Public
Target: Raspberry Pi RP2040 (Cortex-M0+ 133MHz) 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
OK.6hjfhq1o OK 10s 100% 41 OK
Show classification Show in data acquisition Show in feature explorer
OK.6hjfgn8t OK 10s 98% 40 OK, 1 falha
Show classification Show in data acquisition Show in feature explorer
OK.6hjfdt2e OK 10s 100% 41 OK
Show classification Show in data acquisition Show in feature explorer
OK.6hjf9is3 OK 10s 100% 41 OK
Show classification Show in data acquisition Show in feature explorer
OK.6hjf6c6u OK 10s 100% 41 OK
Show classification Show in data acquisition Show in feature explorer
falha.6hjf0jnm falha 10s 100% 41 falha
Show classification Show in data acquisition Show in feature explorer
falha.6hjeual1 falha 10s 100% 41 falha
Show classification Show in data acquisition Show in feature explorer
falha.6hjermh7 falha 10s 100% 41 falha
Show classification Show in data acquisition Show in feature explorer
falha.6hjeprtm falha 10s 100% 41 falha
Show classification Show in data acquisition Show in feature explorer
falha.6hjem1n8 falha 10s 100% 41 falha
Show classification Show in data acquisition Show in feature explorer
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Model testing output

Results

Model version:
Accuracy
99.76%

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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