GMS location: 1208

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.988 0.029 0.354 0.433 2.173 NaN NaN
forest winter 2016 0.988 0.029 0.279 0.384 2.135 0.528 2.682
baseline winter 2017 0.982 0.098 0.545 0.529 2.416 NaN NaN
forest winter 2017 0.973 0.073 0.445 0.491 2.274 0.530 3.506
baseline winter 2018 0.986 0.046 0.388 0.469 2.520 NaN NaN
forest winter 2018 0.979 0.023 0.353 0.448 2.000 0.527 2.662
baseline winter 2019 1.000 0.071 0.323 0.433 1.448 NaN NaN
forest winter 2019 1.000 0.071 0.285 0.415 1.422 0.515 2.636
baseline all 0.988 0.060 0.404 0.466 2.520 NaN NaN
forest all 0.985 0.045 0.341 0.433 2.274 0.526 2.863

Random forest plots

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Extended logistic regression results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.988 0.029 0.354 0.433 2.173 NaN NaN
elr winter 2016 0.981 0.000e+00 0.315 0.437 2.193 0.605 3.691
baseline winter 2017 0.982 0.098 0.545 0.529 2.416 NaN NaN
elr winter 2017 0.973 0.073 0.526 0.542 2.550 0.603 4.722
baseline winter 2018 0.986 0.046 0.388 0.469 2.520 NaN NaN
elr winter 2018 0.972 0.023 0.390 0.474 2.046 0.606 3.850
baseline winter 2019 1.000 0.071 0.323 0.433 1.448 NaN NaN
elr winter 2019 1.000 0.071 0.414 0.500 2.032 0.561 3.500
baseline all 0.988 0.060 0.404 0.466 2.520 NaN NaN
elr all 0.981 0.038 0.404 0.483 2.550 0.597 3.947

Extended logistic regression plots

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