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 2.5,
set thresholds.
| Sample name | Expected outcome | Length | Accuracy | Result | Error | |
|---|---|---|---|---|---|---|
| 7.15 | 7 | 1s | 100% | 4.7 | 2.30 (32.9%) | |
| 8.19 | 8 | 1s | 0% | 4.49 | 3.51 (43.9%) | |
| 6.20 | 6 | 1s | 100% | 4.52 | 1.48 (24.6%) | |
| 10.26 | 10 | 1s | 0% | 4.75 | 5.25 (52.5%) | |
| 5.27 | 5 | 1s | 100% | 4.34 | 0.66 (13.2%) | |
| 7.37 | 7 | 1s | 100% | 4.69 | 2.31 (33.0%) | |
| 4.44 | 4 | 1s | 100% | 4.01 | 0.01 (0.3%) | |
| 10.41 | 10 | 1s | 0% | 4.55 | 5.45 (54.5%) | |
| 8.51 | 8 | 1s | 0% | 4.17 | 3.83 (47.9%) | |
| 6.59 | 6 | 1s | 100% | 4.86 | 1.14 (19.0%) | |
| 5.61 | 5 | 1s | 100% | 4.89 | 0.11 (2.2%) | |
| 5.71 | 5 | 1s | 100% | 4.57 | 0.43 (8.6%) | |
| 4.69 | 4 | 1s | 100% | 5.03 | 1.03 (25.7%) | |
| 11.77 | 11 | 1s | 0% | 4.14 | 6.86 (62.4%) | |
| 4.78 | 4 | 1s | 100% | 4 | 0.00 (0.0%) | |
| 1.83 | 1 | 1s | 0% | 4.68 | 3.68 (368.3%) | |
| 6.85 | 6 | 1s | 100% | 5.55 | 0.45 (7.5%) | |
| 6.87 | 6 | 1s | 100% | 5.17 | 0.83 (13.9%) | |
| 5.89 | 5 | 1s | 100% | 4.62 | 0.38 (7.6%) | |
| 10.102 | 10 | 1s | 0% | 5.23 | 4.77 (47.7%) | |
| 5.105 | 5 | 1s | 100% | 5.46 | 0.46 (9.3%) | |
| 6.118 | 6 | 1s | 100% | 3.75 | 2.25 (37.5%) | |
| 7.119 | 7 | 1s | 0% | 3.5 | 3.50 (50.0%) | |
| 9.123 | 9 | 1s | 0% | 5.29 | 3.71 (41.2%) | |
| 3.131 | 3 | 1s | 100% | 3.6 | 0.60 (19.9%) | |
| 6.136 | 6 | 1s | 100% | 5.39 | 0.61 (10.2%) | |
| 5.130 | 5 | 1s | 100% | 3.9 | 1.10 (22.0%) | |
| 6.148 | 6 | 1s | 100% | 3.61 | 2.39 (39.9%) | |
| 2.152 | 2 | 1s | 0% | 5.35 | 3.35 (167.5%) | |
| 7.165 | 7 | 1s | 100% | 4.75 | 2.25 (32.1%) | |
| 5.173 | 5 | 1s | 100% | 5.71 | 0.71 (14.2%) | |
| 8.180 | 8 | 1s | 100% | 7.07 | 0.93 (11.6%) | |
| 3.186 | 3 | 1s | 100% | 5.24 | 2.24 (74.5%) | |
| 7.196 | 7 | 1s | 100% | 5.33 | 1.67 (23.9%) | |
| 5.207 | 5 | 1s | 100% | 7.41 | 2.41 (48.1%) | |
| 12.210 | 12 | 1s | 0% | 6.09 | 5.91 (49.2%) | |
| 7.227 | 7 | 1s | 100% | 6.91 | 0.09 (1.3%) | |
| 5.233 | 5 | 1s | 100% | 6.82 | 1.82 (36.3%) | |
| 5.242 | 5 | 1s | 100% | 5.37 | 0.37 (7.3%) | |
| 4.243 | 4 | 1s | 100% | 5.72 | 1.72 (42.9%) | |
| 12.248 | 12 | 1s | 0% | 6.94 | 5.06 (42.2%) | |
| 5.256 | 5 | 1s | 100% | 5.9 | 0.90 (17.9%) | |
| 8.264 | 8 | 1s | 100% | 6.84 | 1.16 (14.5%) | |
| 8.268 | 8 | 1s | 100% | 5.87 | 2.13 (26.7%) | |
| 6.270 | 6 | 1s | 100% | 6.6 | 0.60 (9.9%) | |
| 4.274 | 4 | 1s | 100% | 6.07 | 2.07 (51.7%) | |
| 2.276 | 2 | 1s | 0% | 6.66 | 4.66 (233.1%) | |
| 11.279 | 11 | 1s | 0% | 6.03 | 4.97 (45.2%) | |
| 4.280 | 4 | 1s | 100% | 6.19 | 2.19 (54.6%) | |
| 7.278 | 7 | 1s | 100% | 6.89 | 0.11 (1.5%) | |
| 6.282 | 6 | 1s | 100% | 5.92 | 0.08 (1.4%) | |
| 8.286 | 8 | 1s | 100% | 5.92 | 2.08 (26.0%) | |
| 4.287 | 4 | 1s | 100% | 5.32 | 1.32 (33.0%) | |
| 5.353 | 5 | 1s | 100% | 4.86 | 0.14 (2.9%) | |
| 2.289 | 2 | 1s | 0% | 5.85 | 3.85 (192.6%) | |
| 4.297 | 4 | 1s | 100% | 5.34 | 1.34 (33.5%) | |
| 7.318 | 7 | 1s | 100% | 4.92 | 2.08 (29.7%) | |
| 6.319 | 6 | 1s | 100% | 5.48 | 0.52 (8.6%) | |
| 3.324 | 3 | 1s | 100% | 3.97 | 0.97 (32.3%) | |
| 9.332 | 9 | 1s | 0% | 4.44 | 4.56 (50.7%) | |
| 2.335 | 2 | 1s | 100% | 4.04 | 2.04 (102.2%) | |
| 5.336 | 5 | 1s | 100% | 4.24 | 0.76 (15.2%) | |
| 7.338 | 7 | 1s | 100% | 4.74 | 2.26 (32.3%) | |
| 9.362 | 9 | 1s | 0% | 4.85 | 4.15 (46.1%) |
