GMS location: 813

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2017 0.950 0.032 0.382 0.452 2.304 NaN NaN
forest winter 2017 0.975 0.097 0.243 0.371 1.675 0.448 3.124
baseline winter 2018 0.985 0.042 0.351 0.453 2.001 NaN NaN
forest winter 2018 0.993 0.042 0.292 0.398 2.014 0.443 5.266
baseline winter 2019 0.993 0.000e+00 0.344 0.438 2.701 NaN NaN
forest winter 2019 0.993 0.000e+00 0.231 0.359 1.577 0.412 2.311
baseline all 0.978 0.029 0.359 0.447 2.701 NaN NaN
forest all 0.988 0.059 0.255 0.376 2.014 0.434 3.572

Random forest plots

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Extended logistic regression results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2017 0.950 0.032 0.382 0.452 2.304 NaN NaN
elr winter 2017 0.959 0.065 0.287 0.425 1.733 0.540 6.443
baseline winter 2018 0.985 0.042 0.351 0.453 2.001 NaN NaN
elr winter 2018 0.985 0.042 0.301 0.406 1.891 0.500 5.535
baseline winter 2019 0.993 0.000e+00 0.344 0.438 2.701 NaN NaN
elr winter 2019 0.993 0.000e+00 0.232 0.357 1.755 0.463 3.947
baseline all 0.978 0.029 0.359 0.447 2.701 NaN NaN
elr all 0.980 0.044 0.273 0.396 1.891 0.500 5.286

Extended logistic regression plots

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