GMS location: 1015

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2017 0.983 0.114 0.639 0.544 3.500 NaN NaN
forest winter 2017 0.975 0.086 0.574 0.532 3.374 0.566 4.049
baseline winter 2018 0.973 0.191 0.410 0.502 2.102 NaN NaN
forest winter 2018 0.973 0.143 0.342 0.450 1.973 0.537 2.150
baseline winter 2019 1.000 0.118 0.348 0.440 2.097 NaN NaN
forest winter 2019 0.993 0.235 0.316 0.406 1.808 0.534 1.986
baseline all 0.985 0.137 0.464 0.496 3.500 NaN NaN
forest all 0.980 0.137 0.408 0.462 3.374 0.545 2.708

Random forest plots

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Extended logistic regression results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2017 0.983 0.114 0.639 0.544 3.500 NaN NaN
elr winter 2017 0.966 0.143 0.652 0.602 2.915 0.647 5.676
baseline winter 2018 0.973 0.191 0.410 0.502 2.102 NaN NaN
elr winter 2018 0.980 0.143 0.370 0.476 1.883 0.608 2.776
baseline winter 2019 1.000 0.118 0.348 0.440 2.097 NaN NaN
elr winter 2019 1.000 0.059 0.362 0.466 2.077 0.575 2.581
baseline all 0.985 0.137 0.464 0.496 3.500 NaN NaN
elr all 0.983 0.123 0.458 0.513 2.915 0.610 3.645

Extended logistic regression plots

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