Edge Impulse Experts / Muse_separately_recorded_events Public
Target: MacBook Pro 16" 2020 (Intel Core i9 2.4GHz) Clone this project

Test data

Set 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 Accuracy Result
Right.2022-03-01 10_48_22.636401.csv.2suvbjba.ingestion-dbd44ffcb-xhdjg Right 29ms 0% 1 uncertain
Show classification Show in data acquisition
Right.2022-03-01 10_48_10.476757.csv.2suvbk3p.ingestion-dbd44ffcb-gkzzs Right 29ms 100% 1 Right
Show classification Show in data acquisition
Right.2022-03-01 10_45_09.317830.csv.2suvbk8s.ingestion-dbd44ffcb-xhdjg Right 29ms 0% 1 Left
Show classification Show in data acquisition
Right.2022-03-01 10_47_18.595571.csv.2suvbje7.ingestion-dbd44ffcb-gkzzs Right 29ms 0% 1 uncertain
Show classification Show in data acquisition
Right.2022-03-01 10_47_15.530778.csv.2suvbjed.ingestion-dbd44ffcb-xhdjg Right 29ms 100% 1 Right
Show classification Show in data acquisition
Right.2022-02-27 21_47_47.914505.csv.2sr095om.ingestion-dbd44ffcb-gkzzs Right 29ms 100% 1 Right
Show classification Show in data acquisition
Right.2022-02-27 21_46_59.158757.csv.2sr0957q.ingestion-dbd44ffcb-gkzzs Right 29ms 100% 1 Right
Show classification Show in data acquisition
Right.2022-02-27 21_46_53.099041.csv.2sr09587.ingestion-dbd44ffcb-kmfhm Right 29ms 0% 1 uncertain
Show classification Show in data acquisition
Right.2022-02-27 21_46_40.859156.csv.2sr095dj.ingestion-dbd44ffcb-xhdjg Right 29ms 100% 1 Right
Show classification Show in data acquisition
Right.2022-02-27 21_46_46.981946.csv.2sr095d6.ingestion-dbd44ffcb-kmfhm Right 29ms 100% 1 Right
Show classification Show in data acquisition
Right.2022-02-27 21_46_22.607268.csv.2sr095jg.ingestion-dbd44ffcb-kmfhm Right 29ms 100% 1 Right
Show classification Show in data acquisition
Right.2022-02-27 21_44_51.325365.csv.2sr0966o.ingestion-dbd44ffcb-kmfhm Right 29ms 100% 1 Right
Show classification Show in data acquisition
Right.2022-02-27 21_46_16.492445.csv.2sr095l2.ingestion-dbd44ffcb-xhdjg Right 29ms 0% 1 Left
Show classification Show in data acquisition
Right.2022-02-27 21_45_52.137815.csv.2sr095ro.ingestion-dbd44ffcb-kmfhm Right 29ms 0% 1 uncertain
Show classification Show in data acquisition
Right.2022-02-27 21_44_20.922978.csv.2sr096cj.ingestion-dbd44ffcb-kmfhm Right 29ms 0% 1 uncertain
Show classification Show in data acquisition
Right.2022-02-27 21_45_09.572971.csv.2sr0963b.ingestion-dbd44ffcb-kmfhm Right 29ms 0% 1 Background
Show classification Show in data acquisition
Right.2022-02-27 21_43_07.801620.csv.2sr096me.ingestion-dbd44ffcb-kmfhm Right 29ms 100% 1 Right
Show classification Show in data acquisition
Right.2022-02-27 21_20_36.283059.csv.2squrkv0.ingestion-dbd44ffcb-kmfhm Right 29ms 100% 1 Right
Show classification Show in data acquisition
Right.2022-02-27 21_43_13.885769.csv.2sr096lo.ingestion-dbd44ffcb-gkzzs Right 29ms 0% 1 uncertain
Show classification Show in data acquisition
Right.2022-02-27 21_43_38.292418.csv.2sr096ie.ingestion-dbd44ffcb-gkzzs Right 29ms 100% 1 Right
Show classification Show in data acquisition
Right.2022-02-27 21_21_06.719723.csv.2squrknd.ingestion-dbd44ffcb-xhdjg Right 29ms 100% 1 Right
Show classification Show in data acquisition

Model testing output

Results

Model version:
Accuracy
69.38%

Confusion matrix

BackgroundLeftRightuncertain
Background78.3%8.5%6.6%6.6%
Left7%69%12%12%
Right2.0%11.9%60.4%25.7%
f1 score0.840.730.67

Feature explorer

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