GMS location: 528

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 1.000 0.059 0.264 0.407 1.599 NaN NaN
forest winter 2016 1.000 0.118 0.244 0.389 1.269 0.478 2.386
baseline winter 2017 0.953 0.115 0.442 0.491 2.269 NaN NaN
forest winter 2017 0.969 0.038 0.340 0.424 1.798 0.496 3.234
baseline winter 2018 0.985 0.038 0.443 0.485 2.865 NaN NaN
forest winter 2018 0.985 0.115 0.356 0.427 2.861 0.496 3.508
baseline winter 2019 0.980 0.143 0.281 0.377 2.322 NaN NaN
forest winter 2019 0.986 0.286 0.244 0.349 2.444 0.477 2.842
baseline all 0.977 0.079 0.369 0.445 2.865 NaN NaN
forest all 0.984 0.105 0.303 0.399 2.861 0.488 3.068

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 1.000 0.059 0.264 0.407 1.599 NaN NaN
elr winter 2016 1.000 0.059 0.224 0.366 1.293 0.554 3.999
baseline winter 2017 0.953 0.115 0.442 0.491 2.269 NaN NaN
elr winter 2017 0.969 0.038 0.377 0.462 2.032 0.535 4.961
baseline winter 2018 0.985 0.038 0.443 0.485 2.865 NaN NaN
elr winter 2018 0.985 0.077 0.384 0.450 3.300 0.577 5.434
baseline winter 2019 0.980 0.143 0.281 0.377 2.322 NaN NaN
elr winter 2019 0.980 0.143 0.260 0.375 2.469 0.555 4.098
baseline all 0.977 0.079 0.369 0.445 2.865 NaN NaN
elr all 0.981 0.066 0.322 0.419 3.300 0.556 4.706

Extended logistic regression plots

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