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_20231218000000_to_20231219234500 | 0.974, 0.973, 0.972, 0.971, 0.97, 0.969, 0.968, 0.967, 0.966, 0.965... | 2d 0s | 100% | 1 max, 0.95 avg, 0.92 min | 0 | |
F2470_20231224000000_to_20231225234500 | 0.839, 0.84, 0.841, 0.842, 0.843, 0.844, 0.846, 0.847, 0.848, 0.849... | 2d 0s | 100% | 0.9 max, 0.87 avg, 0.86 min | 0 | |
F2470_20231202000000_to_20231203234500 | 0.891, 0.89, 0.889, 0.888, 0.887, 0.886, 0.885, 0.884, 0.883, 0.882... | 2d 0s | 100% | 1.07 max, 0.89 avg, 0.88 min | 0 | |
F2470_20231230000000_to_20231231234500 | 1.202, 1.201, 1.199, 1.198, 1.2, 1.205, 1.211, 1.215, 1.216, 1.214... | 2d 0s | 86% | 2.29 max, 1.69 avg, 1.17 min | 0.02 | |
F2470_20231228000000_to_20231229234500 | 1.86, 1.857, 1.856, 1.855, 1.853, 1.852, 1.851, 1.85, 1.848, 1.847... | 2d 0s | 98% | 2.07 max, 1.48 avg, 1.21 min | 0 | |
F2470_20231206000000_to_20231207234500 | 1.509, 1.502, 1.494, 1.486, 1.479, 1.471, 1.463, 1.458, 1.449, 1.443... | 2d 0s | 83% | 2.36 max, 1.45 avg, 1.18 min | 0.02 | |
F2470_20231222000000_to_20231223234500 | 0.862, 0.861, 0.86, 0.859, 0.858, 0.857, 0.856, 0.855, 0.854, 0.853... | 2d 0s | 100% | 0.87 max, 0.87 avg, 0.87 min | 0 | |
F2470_20231226000000_to_20231227234500 | 0.815, 0.814, 0.813, 0.812, 0.811, 0.81, 0.809, 0.808, 0.807, 0.806... | 2d 0s | 89% | 2.11 max, 1.26 avg, 0.86 min | 0.01 | |
F2470_20231204000000_to_20231205234500 | 0.995, 1.002, 1.008, 1.014, 1.021, 1.029, 1.04, 1.048, 1.054, 1.061... | 2d 0s | 99% | 2.1 max, 1.77 avg, 0.93 min | 0.01 | |
F2470_20231216000000_to_20231217234500 | 1.064, 1.063, 1.062, 1.061, 1.06, 1.059, 1.058, 1.057, 1.056, 1.055... | 2d 0s | 100% | 1.12 max, 1.04 avg, 0.98 min | 0 | |
F2470_20231120000000_to_20231121234500 | 1.481, 1.477, 1.471, 1.466, 1.461, 1.456, 1.451, 1.446, 1.441, 1.436... | 2d 0s | 100% | 1.37 max, 1.12 avg, 0.99 min | 0.01 | |
F2470_20231214000000_to_20231215234500 | 1.252, 1.251, 1.248, 1.247, 1.245, 1.244, 1.242, 1.24, 1.239, 1.236... | 2d 0s | 100% | 1.29 max, 1.19 avg, 1.12 min | 0 | |
F2470_20231110000000_to_20231111234500 | 1.013, 1.012, 1.011, 1.01, 1.009, 1.008, 1.007, 1.006, 1.004, 1.003... | 2d 0s | 100% | 0.92 max, 0.89 avg, 0.86 min | 0 | |
F2470_20231220000000_to_20231221234500 | 0.915, 0.914, 0.913, 0.912, 0.911, 0.91, 0.909, 0.908, 0.907, 0.906... | 2d 0s | 100% | 0.91 max, 0.89 avg, 0.87 min | 0 | |
F2470_20231208000000_to_20231209234500 | 2.288, 2.294, 2.304, 2.308, 2.315, 2.321, 2.327, 2.334, 2.337, 2.343... | 2d 0s | 99% | 2.46 max, 1.97 avg, 1.47 min | 0.01 | |
F2470_20231212000000_to_20231213234500 | 1.67, 1.664, 1.659, 1.653, 1.649, 1.644, 1.639, 1.634, 1.63, 1.627... | 2d 0s | 98% | 1.98 max, 1.53 avg, 1.29 min | 0 | |
F2470_20231112000000_to_20231113234500 | 0.901, 0.9, 0.899, 0.898, 0.897, 0.896, 0.902, 0.908, 0.92, 0.928... | 2d 0s | 87% | 1.95 max, 1.01 avg, 0.86 min | 0.02 | |
F2470_20231126000000_to_20231127234500 | 0.862, 0.861, 0.86, 0.859, 0.858, 0.857, 0.856, 0.864, 0.866, 0.867... | 2d 0s | 87% | 1.29 max, 0.92 avg, 0.84 min | 0.01 | |
F2470_20231210000000_to_20231211234500 | 2.117, 2.116, 2.115, 2.113, 2.112, 2.111, 2.106, 2.103, 2.099, 2.095... | 2d 0s | 95% | 2.5 max, 2.03 avg, 1.67 min | 0.01 | |
F2470_20231116000000_to_20231117234500 | 2.095, 2.096, 2.093, 2.092, 2.091, 2.088, 2.085, 2.081, 2.078, 2.075... | 2d 0s | 94% | 1.98 max, 1.43 avg, 1.11 min | 0.01 | |
F2470_20231124000000_to_20231125234500 | 0.958, 0.957, 0.956, 0.954, 0.953, 0.952, 0.951, 0.95, 0.949, 0.948... | 2d 0s | 100% | 0.9 max, 0.87 avg, 0.85 min | 0 |