GMS location: 480

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.982 0.105 0.383 0.453 2.200 NaN NaN
forest winter 2016 0.982 0.158 0.297 0.393 1.971 0.492 4.352
baseline winter 2017 0.966 0.083 0.414 0.453 2.450 NaN NaN
forest winter 2017 0.974 0.111 0.303 0.402 1.911 0.478 3.182
baseline winter 2018 0.976 0.114 0.384 0.471 2.197 NaN NaN
forest winter 2018 0.992 0.086 0.309 0.409 2.048 0.490 3.307
baseline winter 2019 0.984 0.000e+00 0.295 0.393 2.078 NaN NaN
forest winter 2019 0.992 0.071 0.205 0.343 1.314 0.468 2.738
baseline all 0.978 0.086 0.371 0.445 2.450 NaN NaN
forest all 0.985 0.106 0.281 0.388 2.048 0.483 3.460

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 0.982 0.105 0.383 0.453 2.200 NaN NaN
elr winter 2016 0.982 0.210 0.318 0.435 1.847 0.577 5.337
baseline winter 2017 0.966 0.083 0.414 0.453 2.450 NaN NaN
elr winter 2017 0.974 0.111 0.349 0.427 2.123 0.535 4.461
baseline winter 2018 0.976 0.114 0.384 0.471 2.197 NaN NaN
elr winter 2018 0.992 0.114 0.309 0.420 1.833 0.555 4.531
baseline winter 2019 0.984 0.000e+00 0.295 0.393 2.078 NaN NaN
elr winter 2019 0.992 0.071 0.252 0.387 1.518 0.532 3.842
baseline all 0.978 0.086 0.371 0.445 2.450 NaN NaN
elr all 0.985 0.125 0.309 0.419 2.123 0.552 4.600

Extended logistic regression plots

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