GMS location: 551

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.995 0.059 0.353 0.457 1.985 NaN NaN
forest winter 2016 0.995 0.235 0.277 0.406 1.914 0.476 5.157
baseline winter 2017 0.961 0.000e+00 0.357 0.438 2.119 NaN NaN
forest winter 2017 0.984 0.000e+00 0.240 0.364 1.617 0.480 4.310
baseline winter 2018 0.987 0.040 0.321 0.423 2.533 NaN NaN
forest winter 2018 0.987 0.040 0.248 0.362 2.685 0.488 3.508
baseline winter 2019 0.986 0.000e+00 0.251 0.392 1.435 NaN NaN
forest winter 2019 0.993 0.000e+00 0.213 0.365 1.410 0.466 4.100
baseline all 0.984 0.026 0.323 0.430 2.533 NaN NaN
forest all 0.990 0.065 0.247 0.376 2.685 0.478 4.312

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 0.995 0.059 0.353 0.457 1.985 NaN NaN
elr winter 2016 0.995 0.118 0.288 0.404 1.966 0.565 7.555
baseline winter 2017 0.961 0.000e+00 0.357 0.438 2.119 NaN NaN
elr winter 2017 0.976 0.000e+00 0.301 0.415 1.819 0.560 6.822
baseline winter 2018 0.987 0.040 0.321 0.423 2.533 NaN NaN
elr winter 2018 0.987 0.040 0.281 0.394 2.533 0.557 6.861
baseline winter 2019 0.986 0.000e+00 0.251 0.392 1.435 NaN NaN
elr winter 2019 0.993 0.000e+00 0.236 0.377 1.601 0.588 6.978
baseline all 0.984 0.026 0.323 0.430 2.533 NaN NaN
elr all 0.989 0.039 0.278 0.398 2.533 0.567 7.087

Extended logistic regression plots

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