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.
Maximum absolute regression error is 5.9,
set thresholds.
| Sample name | Expected outcome | Length | Accuracy | Result | Error | |
|---|---|---|---|---|---|---|
| freezertemprampup.t=3.json.1u4cd6b5 | 3 | 2s | 0% | 21.93 | 18.93 (631.1%) | |
| freezertemprampup.t=2.json.1u4cd6b4 | 2 | 2s | 100% | 6.96 | 4.96 (247.8%) | |
| freezertemprampup.t=4.json.1u4cd6b5 | 4 | 2s | 100% | 2.33 | 1.67 (41.7%) | |
| freezertemprampup.t=1.json.1u4c66r0 | 1 | 2s | 100% | 3.38 | 2.38 (238.1%) | |
| freezertemprampup.t=40.json.1u4c66r0 | 40 | 2s | 100% | 37.8 | 2.20 (5.5%) | |
| freezertemprampup.t=10.json.1u4c66r0 | 10 | 2s | 100% | 8.12 | 1.88 (18.8%) | |
| freezertemprampup.t=30.json.1u4c66r0 | 30 | 2s | 100% | 26.25 | 3.75 (12.5%) | |
| freezertemprampup.t=20.json.1u4c66r1 | 20 | 2s | 100% | 15.45 | 4.55 (22.8%) | |
| freezertemprampup.t=50.json.1u4c66r1 | 50 | 2s | 100% | 48.66 | 1.34 (2.7%) | |
| freezertemprampup.t=60.json.1u4c66qv | 60 | 2s | 100% | 59.3 | 0.70 (1.2%) | |
| freezertemprampup.t=5.json.1u4c66r1 | 5 | 2s | 100% | 8.44 | 3.44 (68.7%) | |
| freezertemprampup.aftermiddle.json.1u47n0ll | 18 | 2s | 100% | 13.56 | 4.44 (24.7%) | |
| freezertemprampup.beforemiddle.json.1u47n0ll | 40 | 2s | 100% | 37.37 | 2.63 (6.6%) | |
| freezertemprampup.justbeforetheend.json.1u47c6j1 | 5 | 2s | 100% | 8.24 | 3.24 (64.8%) | |
| freezertemprampup.beginning.json.1u471aja | 60 | 2s | 100% | 59.3 | 0.70 (1.2%) | |
| freezertemprampup.justafterbeginning.json.1u471ajd | 58 | 2s | 100% | 56 | 2.00 (3.4%) | |
| freezertemprampup.end.json.1u46e6n1 | 1 | 2s | 100% | 3.38 | 2.38 (238.1%) |
