GMS location: 720

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.995 0.000e+00 0.318 0.416 1.968 NaN NaN
forest winter 2016 0.989 0.053 0.297 0.423 1.724 0.536 3.758
baseline winter 2017 0.983 0.147 0.401 0.454 2.375 NaN NaN
forest winter 2017 0.966 0.118 0.322 0.411 2.233 0.521 3.716
baseline winter 2018 0.985 0.107 0.400 0.463 2.062 NaN NaN
forest winter 2018 0.970 0.036 0.341 0.421 2.008 0.529 3.132
baseline winter 2019 0.986 0.000e+00 0.266 0.340 2.647 NaN NaN
forest winter 2019 0.986 0.000e+00 0.236 0.343 2.159 0.534 3.363
baseline all 0.988 0.081 0.344 0.418 2.647 NaN NaN
forest all 0.979 0.061 0.299 0.401 2.233 0.530 3.507

Random forest plots

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Extended logistic regression results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.995 0.000e+00 0.318 0.416 1.968 NaN NaN
elr winter 2016 0.995 0.053 0.312 0.447 1.633 0.587 4.777
baseline winter 2017 0.983 0.147 0.401 0.454 2.375 NaN NaN
elr winter 2017 0.966 0.118 0.325 0.423 2.123 0.567 5.354
baseline winter 2018 0.985 0.107 0.400 0.463 2.062 NaN NaN
elr winter 2018 0.985 0.071 0.369 0.439 1.843 0.599 5.517
baseline winter 2019 0.986 0.000e+00 0.266 0.340 2.647 NaN NaN
elr winter 2019 0.986 0.056 0.225 0.344 1.787 0.542 3.729
baseline all 0.988 0.081 0.344 0.418 2.647 NaN NaN
elr all 0.984 0.081 0.308 0.415 2.123 0.575 4.835

Extended logistic regression plots

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