Justin Lutz / Opla_final Public

Test data

Set the 'expected outcome' for each sample to the desired outcome to automatically score the impulse.
Sample name Expected outcome Length Anomaly Accuracy Result
on.json.2ticc80r on 10s -0.53 100% 101 on
on.json.2tic99i0 on 10s -0.83 100% 101 on
on.json.2tic7mj1 on 10s -0.79 100% 101 on
on.json.2tic67u9 on 10s -0.78 100% 101 on
on.json.2tic5p81 on 10s -0.64 100% 101 on
on.json.2tic5990 on 10s -0.57 100% 101 on
on.json.2tic4cv4 on 10s -0.34 100% 101 on
on.json.2tic1vm6 on 10s -0.40 100% 101 on
on.json.2tibvr7p on 10s -0.35 100% 101 on
on.json.2tibsjp7 on 10s -0.42 100% 101 on
on.json.2tibrv6q on 10s -0.40 20% 66 off, 20 on, 15 uncertain
off.json.2tibfbin off 10s -0.37 100% 101 off
off.json.2tibeg90 off 10s -0.37 100% 101 off
off.json.2tibe1oa off 10s -0.37 100% 101 off
off.json.2tibas2h off 10s -0.37 100% 101 off
off.json.2tib9vve off 10s -0.37 100% 101 off
off.json.2tib93i0 off 10s -0.37 100% 101 off
off.json.2tib7am8 off 10s -0.37 100% 101 off
off.json.2tib6a5v off 10s -0.31 100% 101 off

Model testing output

Model testing results

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