GMS location: 568

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.995 0.071 0.416 0.488 2.137 NaN NaN
forest winter 2016 1.000 0.071 0.406 0.495 2.113 0.545 3.434
baseline winter 2017 0.944 0.103 0.459 0.494 2.774 NaN NaN
forest winter 2017 0.927 0.069 0.392 0.450 2.505 0.557 2.914
baseline winter 2018 0.993 0.042 0.322 0.417 2.004 NaN NaN
forest winter 2018 0.993 0.042 0.270 0.388 1.938 0.535 2.380
baseline all 0.980 0.075 0.398 0.467 2.774 NaN NaN
forest all 0.978 0.060 0.358 0.447 2.505 0.545 2.941

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 0.071 0.416 0.488 2.137 NaN NaN
elr winter 2016 1.000 0.071 0.414 0.507 1.835 0.627 5.965
baseline winter 2017 0.944 0.103 0.459 0.494 2.774 NaN NaN
elr winter 2017 0.927 0.069 0.448 0.492 2.664 0.627 4.795
baseline winter 2018 0.993 0.042 0.322 0.417 2.004 NaN NaN
elr winter 2018 0.993 0.042 0.261 0.390 1.719 0.590 3.634
baseline all 0.980 0.075 0.398 0.467 2.774 NaN NaN
elr all 0.978 0.060 0.374 0.464 2.664 0.615 4.869

Extended logistic regression plots

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