GMS location: 1151

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.983 0.120 0.346 0.428 1.960 NaN NaN
forest winter 2016 1.000 0.120 0.245 0.357 1.627 0.477 3.216
baseline winter 2017 0.983 0.032 0.553 0.550 2.175 NaN NaN
forest winter 2017 0.992 0.032 0.339 0.436 1.700 0.478 3.730
baseline winter 2018 0.987 0.176 0.373 0.445 2.091 NaN NaN
forest winter 2018 0.993 0.176 0.305 0.410 1.630 0.477 3.015
baseline winter 2019 1.000 0.000e+00 0.355 0.421 2.413 NaN NaN
forest winter 2019 1.000 0.077 0.251 0.365 2.107 0.462 3.335
baseline all 0.988 0.097 0.399 0.457 2.413 NaN NaN
forest all 0.997 0.107 0.282 0.390 2.107 0.474 3.301

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 0.983 0.120 0.346 0.428 1.960 NaN NaN
elr winter 2016 0.978 0.000e+00 0.286 0.411 1.738 0.569 3.489
baseline winter 2017 0.983 0.032 0.553 0.550 2.175 NaN NaN
elr winter 2017 0.992 0.032 0.420 0.483 2.030 0.502 3.248
baseline winter 2018 0.987 0.176 0.373 0.445 2.091 NaN NaN
elr winter 2018 0.987 0.235 0.371 0.468 1.709 0.559 3.962
baseline winter 2019 1.000 0.000e+00 0.355 0.421 2.413 NaN NaN
elr winter 2019 1.000 0.077 0.361 0.444 2.332 0.510 3.177
baseline all 0.988 0.097 0.399 0.457 2.413 NaN NaN
elr all 0.988 0.097 0.354 0.449 2.332 0.538 3.488

Extended logistic regression plots

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