Nekhil R / OMR Public
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Test data

Set confidence thresholds
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.
Sample name Expected outcome Length F1 score Result
omr dot, dot, dot, dot, dot, dot, dot 0s 100%
Show classification Show in data acquisition
omr dot, dot, dot, dot, dot, dot, dot 0s 100%
Show classification Show in data acquisition
omr dot, dot, dot, dot, dot, dot, dot 0s 100%
Show classification Show in data acquisition
omr dot, dot, dot, dot, dot, dot, dot 0s 100%
Show classification Show in data acquisition
omr dot, dot, dot, dot, dot, dot, dot 0s 100%
Show classification Show in data acquisition
omr dot, dot, dot, dot, dot, dot, dot 0s 100%
Show classification Show in data acquisition
omr dot, dot, dot, dot, dot, dot, dot 0s 100%
Show classification Show in data acquisition
omr dot 0s 80%
Show classification Show in data acquisition
omr dot, dot, dot, dot, dot, dot, dot 0s 92%
Show classification Show in data acquisition
omr dot, dot, dot 0s 100%
Show classification Show in data acquisition

Model testing output

Results

Model version:
Accuracy
100.00%

Confusion matrix

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Feature explorer

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