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 | 1.217, 1.216, 1.214, 1.212, 1.211, 1.21, 1.208, 1.207, 1.206, 1.204... | 2d 0s | 95% | 2.16 max, 1.63 avg, 1.16 min | 0.01 | |
F2470_20231216000000_to_20231217234500 | 1.075, 1.074, 1.073, 1.072, 1.071, 1.07, 1.069, 1.068, 1.067, 1.066... | 2d 0s | 100% | 1.08 max, 1.03 avg, 0.99 min | 0 | |
F2470_20231222000000_to_20231223234500 | 0.873, 0.872, 0.871, 0.87, 0.869, 0.868, 0.867, 0.866, 0.865, 0.864... | 2d 0s | 100% | 0.88 max, 0.86 avg, 0.85 min | 0 | |
F2470_20231228000000_to_20231229234500 | 1.965, 1.956, 1.946, 1.937, 1.926, 1.919, 1.911, 1.903, 1.895, 1.89... | 2d 0s | 100% | 1.88 max, 1.51 avg, 1.21 min | 0 | |
F2470_20231218000000_to_20231219234500 | 0.984, 0.983, 0.982, 0.981, 0.98, 0.979, 0.978, 0.977, 0.976, 0.975... | 2d 0s | 100% | 0.98 max, 0.96 avg, 0.93 min | 0 | |
F2470_20231226000000_to_20231227234500 | 0.82, 0.819, 0.818, 0.817, 0.816, 0.815, 0.814, 0.813, 0.812, 0.811... | 2d 0s | 92% | 2.04 max, 1.12 avg, 0.8 min | 0.01 | |
F2470_20231106000000_to_20231107234500 | 1.154, 1.152, 1.15, 1.148, 1.145, 1.144, 1.141, 1.139, 1.137, 1.135... | 2d 0s | 100% | 1.08 max, 1.01 avg, 0.97 min | 0.01 | |
F2470_20231220000000_to_20231221234500 | 0.926, 0.925, 0.924, 0.923, 0.922, 0.921, 0.92, 0.919, 0.918, 0.917... | 2d 0s | 100% | 0.93 max, 0.91 avg, 0.88 min | 0 | |
F2470_20231214000000_to_20231215234500 | 1.285, 1.283, 1.28, 1.278, 1.276, 1.274, 1.272, 1.27, 1.267, 1.266... | 2d 0s | 100% | 1.28 max, 1.17 avg, 1.09 min | 0 | |
F2470_20231212000000_to_20231213234500 | 1.76, 1.75, 1.745, 1.746, 1.741, 1.732, 1.723, 1.715, 1.711, 1.709... | 2d 0s | 100% | 1.73 max, 1.53 avg, 1.3 min | 0 | |
F2470_20231126000000_to_20231127234500 | 0.871, 0.87, 0.869, 0.868, 0.867, 0.866, 0.865, 0.864, 0.863, 0.862... | 2d 0s | 100% | 1.13 max, 0.9 avg, 0.83 min | 0 | |
F2470_20231224000000_to_20231225234500 | 0.841, 0.84, 0.839, 0.842, 0.843, 0.844, 0.846, 0.847, 0.848, 0.849... | 2d 0s | 100% | 0.88 max, 0.85 avg, 0.84 min | 0 | |
F2470_20231202000000_to_20231203234500 | 0.9, 0.899, 0.898, 0.897, 0.896, 0.895, 0.894, 0.893, 0.892, 0.891... | 2d 0s | 100% | 0.92 max, 0.89 avg, 0.87 min | 0 | |
F2470_20231206000000_to_20231207234500 | 1.65, 1.64, 1.63, 1.621, 1.612, 1.602, 1.593, 1.585, 1.576, 1.566... | 2d 0s | 92% | 2.07 max, 1.37 avg, 1.16 min | 0.01 | |
F2470_20231210000000_to_20231211234500 | 2.089, 2.092, 2.093, 2.096, 2.097, 2.1, 2.104, 2.106, 2.108, 2.11... | 2d 0s | 100% | 2.24 max, 2.02 avg, 1.79 min | 0 | |
F2470_20231130000000_to_20231201234500 | 0.983, 0.982, 0.981, 0.98, 0.979, 0.978, 0.977, 0.976, 0.975, 0.973... | 2d 0s | 100% | 0.98 max, 0.91 avg, 0.89 min | 0 | |
F2470_20231208000000_to_20231209234500 | 2.144, 2.156, 2.167, 2.179, 2.189, 2.199, 2.207, 2.215, 2.226, 2.236... | 2d 0s | 100% | 2.35 max, 1.95 avg, 1.53 min | 0 | |
F2470_20231019000000_to_20231020234500 | 0.881, 0.88, 0.878, 0.876, 0.875, 0.873, 0.874, 0.872, 0.871, 0.869... | 2d 0s | 100% | 1.53 max, 1.02 avg, 0.84 min | 0 | |
F2470_20231204000000_to_20231205234500 | 0.926, 0.927, 0.929, 0.934, 0.94, 0.944, 0.948, 0.952, 0.956, 0.958... | 2d 0s | 100% | 1.98 max, 1.67 avg, 0.92 min | 0 | |
F2470_20231124000000_to_20231125234500 | 0.974, 0.973, 0.972, 0.971, 0.97, 0.969, 0.968, 0.967, 0.966, 0.965... | 2d 0s | 100% | 0.92 max, 0.87 avg, 0.84 min | 0 | |
F2470_20231110000000_to_20231111234500 | 1.022, 1.021, 1.02, 1.019, 1.018, 1.017, 1.015, 1.014, 1.013, 1.012... | 2d 0s | 100% | 0.95 max, 0.9 avg, 0.86 min | 0 |