Snoring Detection (Syntiant NDP120) - Model testing

Edge Impulse Experts / Snoring Detection (Syntiant NDP120) Public

Target: Cortex-M4F 80MHz Clone this project

This lists all test data. You can manage this data through Data acquisition.

Test data

Set the 'expected outcome' for each sample to the desired outcome to automatically score the impulse.

Sample name	Expected outcome	Length	Accuracy	Result
1_94	snoring	1s	100%	2 snoring	Show classification Show in data acquisition
1_89	snoring	1s	100%	2 snoring	Show classification Show in data acquisition
1_74	snoring	1s	100%	2 snoring	Show classification Show in data acquisition
1_62	snoring	1s	100%	2 snoring	Show classification Show in data acquisition
1_59	snoring	1s	100%	2 snoring	Show classification Show in data acquisition
1_5	snoring	1s	100%	2 snoring	Show classification Show in data acquisition
1_496	snoring	1s	100%	2 snoring	Show classification Show in data acquisition
1_489	snoring	1s	100%	2 snoring	Show classification Show in data acquisition
1_479	snoring	1s	100%	2 snoring	Show classification Show in data acquisition
1_475	snoring	1s	100%	2 snoring	Show classification Show in data acquisition
1_476	snoring	1s	100%	2 snoring	Show classification Show in data acquisition
1_477	snoring	1s	100%	2 snoring	Show classification Show in data acquisition
1_471	snoring	1s	100%	2 snoring	Show classification Show in data acquisition
1_469	snoring	1s	100%	2 snoring	Show classification Show in data acquisition
1_465	snoring	1s	0%	2 uncertain	Show classification Show in data acquisition
1_464	snoring	1s	100%	2 snoring	Show classification Show in data acquisition
1_46	snoring	1s	100%	2 snoring	Show classification Show in data acquisition
1_460	snoring	1s	100%	2 snoring	Show classification Show in data acquisition
1_455	snoring	1s	100%	2 snoring	Show classification Show in data acquisition
1_454	snoring	1s	100%	2 snoring	Show classification Show in data acquisition
1_451	snoring	1s	100%	2 snoring	Show classification Show in data acquisition

Model testing output

Results

Accuracy

94.62%

Confusion matrix

	snoring	z_openset	uncertain
snoring	90.4%	2.0%	7.6%
z_openset	0%	98.0%	2.0%
f1 score	0.95	0.98

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Test data

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Model testing output

Results

Accuracy

Confusion matrix

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