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_20231228000000_to_20231229234500 | 1.573, 1.569, 1.566, 1.56, 1.556, 1.552, 1.547, 1.543, 1.54, 1.536... | 2d 0s | 0% | 0.92 avg, 0.92 min, 0.92 max | 0.17 | |
F2470_20231222000000_to_20231223234500 | 0.853, 0.852, 0.851, 0.85, 0.849, 0.848, 0.847, 0.846, 0.845, 0.844... | 2d 0s | 100% | 0.92 avg, 0.92 min, 0.92 max | 0.01 | |
F2470_20231210000000_to_20231211234500 | 1.875, 1.893, 1.912, 1.927, 1.935, 1.943, 1.948, 1.951, 1.957, 1.962... | 2d 0s | 0% | 0.92 avg, 0.92 min, 0.92 max | 1.09 | |
F2470_20231216000000_to_20231217234500 | 1.036, 1.035, 1.034, 1.032, 1.031, 1.03, 1.029, 1.028, 1.027, 1.026... | 2d 0s | 100% | 0.92 avg, 0.92 min, 0.92 max | 0.01 | |
F2470_20231218000000_to_20231219234500 | 0.961, 0.96, 0.959, 0.958, 0.957, 0.956, 0.955, 0.954, 0.953, 0.952... | 2d 0s | 100% | 0.92 avg, 0.92 min, 0.92 max | 0 | |
F2470_20231204000000_to_20231205234500 | 1.79, 1.793, 1.797, 1.798, 1.8, 1.802, 1.803, 1.804, 1.806, 1.81... | 2d 0s | 0% | 0.92 avg, 0.92 min, 0.92 max | 0.62 | |
F2470_20231122000000_to_20231123234500 | 1.03, 1.029, 1.028, 1.027, 1.026, 1.025, 1.024, 1.023, 1.022, 1.021... | 2d 0s | 100% | 0.92 avg, 0.92 min, 0.92 max | 0 | |
F2470_20231130000000_to_20231201234500 | 0.943, 0.942, 0.941, 0.94, 0.939, 0.938, 0.937, 0.936, 0.935, 0.934... | 2d 0s | 100% | 0.92 avg, 0.92 min, 0.92 max | 0 | |
F2470_20231220000000_to_20231221234500 | 0.907, 0.906, 0.908, 0.905, 0.904, 0.903, 0.902, 0.901, 0.9, 0.899... | 2d 0s | 100% | 0.92 avg, 0.92 min, 0.92 max | 0 | |
F2470_20231226000000_to_20231227234500 | 0.796, 0.795, 0.794, 0.793, 0.792, 0.8, 0.805, 0.812, 0.816, 0.821... | 2d 0s | 19% | 0.92 avg, 0.92 min, 0.92 max | 0.59 | |
F2470_20231230000000_to_20231231234500 | 1.533, 1.548, 1.563, 1.577, 1.592, 1.605, 1.617, 1.629, 1.642, 1.657... | 2d 0s | 0% | 0.92 avg, 0.92 min, 0.92 max | 0.83 | |
F2470_20231224000000_to_20231225234500 | 0.843, 0.842, 0.841, 0.84, 0.839, 0.838, 0.837, 0.836, 0.835, 0.834... | 2d 0s | 100% | 0.92 avg, 0.92 min, 0.92 max | 0.01 | |
F2470_20231212000000_to_20231213234500 | 1.66, 1.654, 1.649, 1.643, 1.638, 1.634, 1.627, 1.622, 1.616, 1.611... | 2d 0s | 0% | 0.92 avg, 0.92 min, 0.92 max | 0.19 | |
F2470_20231015000000_to_20231016234500 | 0.865, 0.864, 0.863, 0.862, 0.861, 0.86, 0.859, 0.858, 0.857, 0.856... | 2d 0s | 100% | 0.92 avg, 0.92 min, 0.92 max | 0.01 | |
F2470_20231108000000_to_20231109234500 | 1.058, 1.059, 1.06, 1.057, 1.056, 1.055, 1.053, 1.052, 1.051, 1.049... | 2d 0s | 100% | 0.92 avg, 0.92 min, 0.92 max | 0.01 | |
F2470_20231104000000_to_20231105234500 | 1.179, 1.178, 1.176, 1.175, 1.174, 1.173, 1.172, 1.17, 1.168, 1.169... | 2d 0s | 9% | 0.92 avg, 0.92 min, 0.92 max | 0.06 | |
F2470_20231112000000_to_20231113234500 | 0.915, 0.916, 0.917, 0.918, 0.919, 0.914, 0.922, 0.928, 0.932, 0.933... | 2d 0s | 33% | 0.92 avg, 0.92 min, 0.92 max | 0.42 | |
F2470_20231214000000_to_20231215234500 | 1.188, 1.186, 1.184, 1.183, 1.181, 1.18, 1.179, 1.178, 1.176, 1.175... | 2d 0s | 63% | 0.92 avg, 0.92 min, 0.92 max | 0.03 | |
F2470_20231208000000_to_20231209234500 | 1.953, 1.938, 1.922, 1.908, 1.894, 1.879, 1.868, 1.853, 1.839, 1.826... | 2d 0s | 0% | 0.92 avg, 0.92 min, 0.92 max | 0.93 | |
F2470_20231120000000_to_20231121234500 | 1.258, 1.256, 1.254, 1.25, 1.248, 1.245, 1.243, 1.241, 1.239, 1.236... | 2d 0s | 56% | 0.92 avg, 0.92 min, 0.92 max | 0.04 | |
F2470_20231202000000_to_20231203234500 | 0.876, 0.875, 0.874, 0.873, 0.872, 0.871, 0.87, 0.869, 0.868, 0.867... | 2d 0s | 73% | 0.92 avg, 0.92 min, 0.92 max | 0.11 |