GMS location: 1207

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.989 0.100 0.356 0.430 2.718 NaN NaN
forest winter 2016 0.989 0.067 0.274 0.353 2.523 0.496 3.909
baseline winter 2017 0.983 0.081 0.488 0.517 2.459 NaN NaN
forest winter 2017 0.983 0.054 0.352 0.451 1.892 0.477 4.022
baseline winter 2018 0.986 0.114 0.379 0.458 2.293 NaN NaN
forest winter 2018 0.972 0.143 0.332 0.425 2.341 0.506 3.549
baseline winter 2019 1.000 0.083 0.284 0.380 1.901 NaN NaN
forest winter 2019 1.000 0.083 0.222 0.352 1.681 0.490 3.473
baseline all 0.990 0.097 0.374 0.444 2.718 NaN NaN
forest all 0.986 0.088 0.294 0.392 2.523 0.493 3.740

Random forest plots

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Extended logistic regression results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.989 0.100 0.356 0.430 2.718 NaN NaN
elr winter 2016 0.989 0.033 0.281 0.397 2.562 0.576 4.394
baseline winter 2017 0.983 0.081 0.488 0.517 2.459 NaN NaN
elr winter 2017 0.983 0.108 0.397 0.484 1.925 0.496 4.131
baseline winter 2018 0.986 0.114 0.379 0.458 2.293 NaN NaN
elr winter 2018 0.993 0.143 0.316 0.432 2.052 0.580 4.806
baseline winter 2019 1.000 0.083 0.284 0.380 1.901 NaN NaN
elr winter 2019 1.000 0.083 0.282 0.417 1.883 0.537 3.575
baseline all 0.990 0.097 0.374 0.444 2.718 NaN NaN
elr all 0.992 0.097 0.315 0.430 2.562 0.550 4.250

Extended logistic regression plots

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