Refrigerator Predictive Maintenance v4 - Model testing

Edge Impulse Experts / Refrigerator Predictive Maintenance v4 Public

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

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

Sample name	Expected outcome	Length	Anomaly	Result
15may2022_eve_dataset.s1	normal_operation	13s	-1.65	13 no anomaly	Show classification Show in data acquisition
31may2022_evening_door_open_dataset	Combined	1m 11s	3.45	47 anomaly, 24 no anomaly	Show classification Show in data acquisition
doorOpen_dataset	Combined	26s	3.90	15 no anomaly, 11 anomaly	Show classification Show in data acquisition
23may2022_doorOpen_dataset	Combined	1m 21s	2.46	56 anomaly, 25 no anomaly	Show classification Show in data acquisition
23may2022_doorOpen_Only	Anomalous_DO	36s	4.08	35 anomaly	Show classification Show in data acquisition

These users will be notified over email when this job finishes.

	Name
	Swapnil Verma