GMS location: 1413

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.994 0.129 0.346 0.437 1.768 NaN NaN
forest winter 2016 0.988 0.065 0.266 0.391 1.603 0.453 2.594
baseline winter 2017 0.981 0.067 0.501 0.499 2.958 NaN NaN
forest winter 2017 0.981 0.067 0.388 0.430 2.144 0.460 3.865
baseline winter 2018 0.979 0.098 0.390 0.439 3.047 NaN NaN
forest winter 2018 0.979 0.098 0.328 0.391 3.070 0.471 3.273
baseline winter 2019 1.000 0.000e+00 0.287 0.405 2.055 NaN NaN
forest winter 2019 1.000 0.133 0.244 0.367 1.454 0.452 2.550
baseline all 0.989 0.083 0.378 0.444 3.047 NaN NaN
forest all 0.988 0.083 0.304 0.394 3.070 0.459 3.041

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 0.129 0.346 0.437 1.768 NaN NaN
elr winter 2016 0.988 0.097 0.318 0.462 1.490 0.550 3.392
baseline winter 2017 0.981 0.067 0.501 0.499 2.958 NaN NaN
elr winter 2017 0.991 0.089 0.433 0.458 2.582 0.475 2.877
baseline winter 2018 0.979 0.098 0.390 0.439 3.047 NaN NaN
elr winter 2018 0.979 0.098 0.342 0.415 3.055 0.520 3.307
baseline winter 2019 1.000 0.000e+00 0.287 0.405 2.055 NaN NaN
elr winter 2019 1.000 0.133 0.304 0.420 1.665 0.509 2.766
baseline all 0.989 0.083 0.378 0.444 3.047 NaN NaN
elr all 0.989 0.099 0.346 0.439 3.055 0.517 3.116

Extended logistic regression plots

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