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 0.19,
set thresholds.
Sample name | Expected outcome | Length | Accuracy | Result | Error | |
---|---|---|---|---|---|---|
F2470_20231230000000_to_20231231234500 | 1.23, 1.229, 1.228, 1.227, 1.225, 1.223, 1.222, 1.221, 1.218, 1.217... | 2d 0s | 100% | 2.12 max, 1.61 avg, 1.18 min | 0 | |
F2470_20231214000000_to_20231215234500 | 1.313, 1.311, 1.308, 1.306, 1.303, 1.302, 1.299, 1.297, 1.294, 1.292... | 2d 0s | 100% | 1.3 max, 1.18 avg, 1.09 min | 0 | |
F2470_20231222000000_to_20231223234500 | 0.88, 0.879, 0.878, 0.877, 0.876, 0.875, 0.874, 0.873, 0.872, 0.871... | 2d 0s | 100% | 0.87 max, 0.85 avg, 0.84 min | 0 | |
F2470_20231224000000_to_20231225234500 | 0.841, 0.842, 0.84, 0.839, 0.843, 0.844, 0.846, 0.847, 0.848, 0.849... | 2d 0s | 100% | 0.85 max, 0.84 avg, 0.82 min | 0 | |
F2470_20231212000000_to_20231213234500 | 1.903, 1.891, 1.876, 1.864, 1.85, 1.839, 1.827, 1.814, 1.802, 1.791... | 2d 0s | 100% | 1.82 max, 1.53 avg, 1.31 min | 0 | |
F2470_20231226000000_to_20231227234500 | 0.819, 0.82, 0.818, 0.817, 0.816, 0.815, 0.814, 0.813, 0.812, 0.811... | 2d 0s | 100% | 2.02 max, 1.05 avg, 0.8 min | 0 | |
F2470_20231228000000_to_20231229234500 | 2.035, 2.032, 2.027, 2.023, 2.019, 2.015, 2.012, 2.005, 1.997, 1.991... | 2d 0s | 100% | 1.94 max, 1.54 avg, 1.22 min | 0 | |
F2470_20231206000000_to_20231207234500 | 1.767, 1.758, 1.747, 1.738, 1.728, 1.718, 1.708, 1.698, 1.688, 1.679... | 2d 0s | 100% | 1.79 max, 1.34 avg, 1.16 min | 0 | |
F2470_20231122000000_to_20231123234500 | 1.096, 1.095, 1.094, 1.093, 1.092, 1.091, 1.09, 1.089, 1.088, 1.087... | 2d 0s | 100% | 1.07 max, 1.01 avg, 0.96 min | 0 | |
F2470_20231202000000_to_20231203234500 | 0.902, 0.901, 0.9, 0.899, 0.898, 0.897, 0.896, 0.895, 0.894, 0.893... | 2d 0s | 100% | 0.9 max, 0.88 avg, 0.86 min | 0 | |
F2470_20231130000000_to_20231201234500 | 0.992, 0.991, 0.99, 0.988, 0.987, 0.986, 0.985, 0.984, 0.983, 0.982... | 2d 0s | 100% | 0.97 max, 0.93 avg, 0.81 min | 0 | |
F2470_20231208000000_to_20231209234500 | 1.92, 1.944, 1.967, 1.989, 2.013, 2.035, 2.055, 2.073, 2.087, 2.101... | 2d 0s | 100% | 2.26 max, 1.93 avg, 1.55 min | 0.01 | |
F2470_20231220000000_to_20231221234500 | 0.93, 0.929, 0.928, 0.927, 0.926, 0.925, 0.924, 0.923, 0.922, 0.921... | 2d 0s | 100% | 0.93 max, 0.9 avg, 0.88 min | 0 | |
F2470_20231210000000_to_20231211234500 | 2.052, 2.056, 2.058, 2.063, 2.064, 2.07, 2.072, 2.075, 2.079, 2.082... | 2d 0s | 100% | 2.19 max, 2 avg, 1.74 min | 0 | |
F2470_20231218000000_to_20231219234500 | 0.99, 0.989, 0.988, 0.987, 0.986, 0.985, 0.984, 0.983, 0.982, 0.981... | 2d 0s | 100% | 0.99 max, 0.95 avg, 0.93 min | 0 | |
F2470_20231126000000_to_20231127234500 | 0.874, 0.873, 0.872, 0.871, 0.87, 0.869, 0.868, 0.867, 0.866, 0.865... | 2d 0s | 100% | 1.2 max, 0.92 avg, 0.85 min | 0 | |
F2470_20231216000000_to_20231217234500 | 1.084, 1.082, 1.081, 1.079, 1.078, 1.077, 1.076, 1.075, 1.074, 1.073... | 2d 0s | 100% | 1.08 max, 1.04 avg, 1 min | 0 | |
F2470_20231204000000_to_20231205234500 | 0.898, 0.9, 0.903, 0.907, 0.912, 0.917, 0.919, 0.92, 0.921, 0.922... | 2d 0s | 100% | 1.9 max, 1.57 avg, 0.91 min | 0 | |
F2470_20231128000000_to_20231129234500 | 1.226, 1.227, 1.228, 1.23, 1.231, 1.232, 1.234, 1.233, 1.236, 1.237... | 2d 0s | 100% | 1.22 max, 1.11 avg, 0.98 min | 0 | |
F2470_20231108000000_to_20231109234500 | 1.057, 1.056, 1.055, 1.054, 1.052, 1.051, 1.05, 1.049, 1.048, 1.047... | 2d 0s | 100% | 1.1 max, 1.02 avg, 1 min | 0 | |
F2470_20231017000000_to_20231018234500 | 0.825, 0.824, 0.823, 0.822, 0.821, 0.82, 0.819, 0.818, 0.817, 0.816... | 2d 0s | 100% | 0.83 max, 0.8 avg, 0.78 min | 0 |