Flood Monitoring Org / Flood Monitor +8Hr Public
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

Model testing output

Results

Model version:
Mean squared error 0.01
Mean absolute error 0.07
Explained variance score 0.96
avgminmaxuncertain
avg----
min----
max----
f1 score0.000.000.00
Error while loading features: {"response":{"readyState":0,"status":0,"statusText":"error"},"errorThrown":""}