GMS location: 721

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.994 0.036 0.332 0.417 2.400 NaN NaN
forest winter 2016 0.994 0.036 0.330 0.416 2.160 0.501 3.202
baseline winter 2017 0.983 0.091 0.397 0.445 2.601 NaN NaN
forest winter 2017 0.974 0.091 0.343 0.416 2.573 0.482 3.577
baseline winter 2018 0.978 0.077 0.395 0.469 1.795 NaN NaN
forest winter 2018 0.971 0.115 0.348 0.436 1.780 0.491 2.695
baseline winter 2019 0.984 0.105 0.282 0.391 2.054 NaN NaN
forest winter 2019 0.984 0.053 0.257 0.377 1.780 0.485 2.429
baseline all 0.986 0.075 0.351 0.431 2.601 NaN NaN
forest all 0.982 0.075 0.322 0.413 2.573 0.491 2.993

Random forest plots

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Extended logistic regression results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.994 0.036 0.332 0.417 2.400 NaN NaN
elr winter 2016 0.994 0.036 0.333 0.429 2.192 0.527 3.673
baseline winter 2017 0.983 0.091 0.397 0.445 2.601 NaN NaN
elr winter 2017 0.983 0.091 0.347 0.429 2.370 0.537 4.059
baseline winter 2018 0.978 0.077 0.395 0.469 1.795 NaN NaN
elr winter 2018 0.971 0.115 0.366 0.460 2.053 0.546 4.026
baseline winter 2019 0.984 0.105 0.282 0.391 2.054 NaN NaN
elr winter 2019 0.984 0.000e+00 0.298 0.430 2.044 0.593 4.205
baseline all 0.986 0.075 0.351 0.431 2.601 NaN NaN
elr all 0.984 0.066 0.337 0.437 2.370 0.548 3.962

Extended logistic regression plots

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