micro_ros_ei - Model testing

Avi / micro_ros_ei Public

Target: Cortex-M7 216MHz 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	Accuracy	Result
background	background	100%	1 background	Show classification Show in data acquisition
background	background	100%	1 background	Show classification Show in data acquisition
background	background	0%	1 uncertain	Show classification Show in data acquisition
background	background	100%	1 background	Show classification Show in data acquisition
background	background	100%	1 background	Show classification Show in data acquisition
background	background	100%	1 background	Show classification Show in data acquisition
human	human	100%	1 human	Show classification Show in data acquisition
human	human	100%	1 human	Show classification Show in data acquisition
human	human	100%	1 human	Show classification Show in data acquisition
human	human	100%	1 human	Show classification Show in data acquisition
human	human	100%	1 human	Show classification Show in data acquisition
human	human	100%	1 human	Show classification Show in data acquisition
background	background	100%	1 background	Show classification Show in data acquisition
background	background	100%	1 background	Show classification Show in data acquisition
background	background	100%	1 background	Show classification Show in data acquisition
background	background	100%	1 background	Show classification Show in data acquisition
background	background	100%	1 background	Show classification Show in data acquisition
head	human	100%	1 human	Show classification Show in data acquisition
head	human	100%	1 human	Show classification Show in data acquisition
head	human	100%	1 human	Show classification Show in data acquisition
head	human	100%	1 human	Show classification Show in data acquisition

Model testing output

Results

Accuracy

88.89%

Confusion matrix

	background	human	uncertain
background	86.7%	6.7%	6.7%
human	0%	91.7%	8.3%
f1 score	0.93	0.92

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Test data

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Model testing output

Results

Accuracy

Confusion matrix

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