Edge Impulse Experts / Mini-figurine Cataloger Fall Detection Public
Set the 'expected outcome' for each sample to the desired outcome to automatically score the impulse.

Apply filters

Sample name Expected outcome Length Accuracy Result
testing.6q1atrvk testing 5s
testing.6q1apn52 testing 5s
testing.6q1anpop testing 5s
testing.6q1alpcm testing 5s
testing.6q1aj0tp testing 5s
model_fall.6prm8kkn model_fall 2s 100% 1 model_fall
model_fall.6prm8cr5 model_fall 2s 100% 1 model_fall
model_fall.6prm711s model_fall 2s 100% 1 model_fall
background_noise.6prlln24 background_noise 5s 100% 7 background_noise
background_noise.6prll426 background_noise 5s 100% 7 background_noise
background_noise.6prlkm7q background_noise 5s 100% 7 background_noise
Filter yielded no results, click to adjust the filter

Model testing output

Results

Model version:
Area under ROC Curve 1.00
Weighted average Precision 1.00
Weighted average Recall 1.00
Weighted average F1 score 1.00
Loading...
Loading...