GMS location: 1112

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.988 0.094 0.337 0.404 2.398 NaN NaN
forest winter 2016 0.988 0.062 0.283 0.378 2.058 0.520 3.701
baseline winter 2017 0.991 0.000e+00 0.463 0.481 2.653 NaN NaN
forest winter 2017 0.991 0.000e+00 0.341 0.411 2.567 0.502 4.087
baseline winter 2018 0.980 0.094 0.296 0.412 1.924 NaN NaN
forest winter 2018 0.993 0.125 0.264 0.391 1.894 0.511 3.039
baseline winter 2019 0.981 0.000e+00 0.342 0.427 1.981 NaN NaN
forest winter 2019 1.000 0.000e+00 0.259 0.382 1.981 0.508 3.654
baseline all 0.985 0.053 0.354 0.428 2.653 NaN NaN
forest all 0.993 0.053 0.285 0.389 2.567 0.511 3.602

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 0.094 0.337 0.404 2.398 NaN NaN
elr winter 2016 0.982 0.031 0.325 0.419 2.142 0.623 6.139
baseline winter 2017 0.991 0.000e+00 0.463 0.481 2.653 NaN NaN
elr winter 2017 0.982 0.028 0.387 0.446 2.240 0.564 5.505
baseline winter 2018 0.980 0.094 0.296 0.412 1.924 NaN NaN
elr winter 2018 0.980 0.125 0.290 0.429 1.690 0.610 5.450
baseline winter 2019 0.981 0.000e+00 0.342 0.427 1.981 NaN NaN
elr winter 2019 1.000 0.000e+00 0.287 0.407 1.676 0.543 4.396
baseline all 0.985 0.053 0.354 0.428 2.653 NaN NaN
elr all 0.986 0.053 0.320 0.424 2.240 0.587 5.398

Extended logistic regression plots

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