GMS location: 1116

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.994 0.061 0.451 0.489 2.546 NaN NaN
forest winter 2016 0.982 0.030 0.365 0.430 2.215 0.570 4.204
baseline winter 2017 0.980 0.160 0.413 0.477 1.956 NaN NaN
forest winter 2017 0.990 0.080 0.317 0.427 1.898 0.527 3.458
baseline winter 2018 0.986 0.089 0.350 0.418 2.579 NaN NaN
forest winter 2018 0.978 0.067 0.299 0.416 2.208 0.578 3.375
baseline winter 2019 1.000 0.000e+00 0.400 0.433 2.600 NaN NaN
forest winter 2019 0.993 0.000e+00 0.309 0.396 2.377 0.548 3.709
baseline all 0.991 0.099 0.404 0.455 2.600 NaN NaN
forest all 0.985 0.056 0.324 0.418 2.377 0.558 3.708

Random forest plots

My plot :) My plot :) My plot :) My plot :) My plot :) My plot :) My plot :) My plot :) My plot :) My plot :)

Extended logistic regression results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.994 0.061 0.451 0.489 2.546 NaN NaN
elr winter 2016 0.988 0.061 0.340 0.432 2.070 0.646 5.447
baseline winter 2017 0.980 0.160 0.413 0.477 1.956 NaN NaN
elr winter 2017 0.969 0.060 0.340 0.450 1.716 0.577 4.234
baseline winter 2018 0.986 0.089 0.350 0.418 2.579 NaN NaN
elr winter 2018 0.978 0.111 0.332 0.440 2.422 0.634 4.708
baseline winter 2019 1.000 0.000e+00 0.400 0.433 2.600 NaN NaN
elr winter 2019 1.000 0.000e+00 0.308 0.410 2.449 0.583 4.354
baseline all 0.991 0.099 0.404 0.455 2.600 NaN NaN
elr all 0.985 0.070 0.331 0.433 2.449 0.614 4.739

Extended logistic regression plots

My plot :) My plot :) My plot :) My plot :) My plot :) My plot :) My plot :) My plot :) My plot :) My plot :)