GMS location: 1012

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.990 0.143 0.410 0.457 2.351 NaN NaN
forest winter 2016 0.984 0.143 0.387 0.446 2.310 0.505 2.519
baseline winter 2017 0.968 0.042 0.458 0.476 2.705 NaN NaN
forest winter 2017 0.976 0.042 0.386 0.438 2.428 0.509 2.478
baseline winter 2018 0.974 0.067 0.281 0.403 1.706 NaN NaN
forest winter 2018 0.968 0.067 0.251 0.386 1.502 0.514 1.947
baseline winter 2019 1.000 0.182 0.369 0.373 4.406 NaN NaN
forest winter 2019 1.000 0.091 0.357 0.372 4.355 0.524 2.601
baseline all 0.984 0.094 0.379 0.429 4.406 NaN NaN
forest all 0.982 0.078 0.345 0.413 4.355 0.512 2.383

Random forest plots

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Extended logistic regression results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.990 0.143 0.410 0.457 2.351 NaN NaN
elr winter 2016 0.990 0.143 0.408 0.470 2.070 0.555 3.536
baseline winter 2017 0.968 0.042 0.458 0.476 2.705 NaN NaN
elr winter 2017 0.952 0.000e+00 0.445 0.467 2.713 0.583 4.559
baseline winter 2018 0.974 0.067 0.281 0.403 1.706 NaN NaN
elr winter 2018 0.974 0.067 0.275 0.403 1.579 0.565 2.924
baseline winter 2019 1.000 0.182 0.369 0.373 4.406 NaN NaN
elr winter 2019 1.000 0.182 0.354 0.388 4.341 0.535 3.193
baseline all 0.984 0.094 0.379 0.429 4.406 NaN NaN
elr all 0.980 0.078 0.370 0.434 4.341 0.559 3.530

Extended logistic regression plots

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