GMS location: 506

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.989 0.050 0.366 0.476 1.828 NaN NaN
forest winter 2016 0.994 0.050 0.309 0.418 2.185 0.455 3.078
baseline winter 2017 0.952 0.036 0.470 0.526 2.276 NaN NaN
forest winter 2017 0.968 0.036 0.383 0.468 2.126 0.472 3.422
baseline winter 2019 0.993 0.083 0.260 0.380 1.828 NaN NaN
forest winter 2019 0.993 0.083 0.271 0.401 1.372 0.475 2.429
baseline all 0.980 0.050 0.363 0.461 2.276 NaN NaN
forest all 0.987 0.050 0.319 0.428 2.185 0.467 2.976

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 0.989 0.050 0.366 0.476 1.828 NaN NaN
elr winter 2016 0.983 0.050 0.363 0.476 2.166 0.551 4.949
baseline winter 2017 0.952 0.036 0.470 0.526 2.276 NaN NaN
elr winter 2017 0.968 0.036 0.406 0.480 2.381 0.504 4.926
baseline winter 2019 0.993 0.083 0.260 0.380 1.828 NaN NaN
elr winter 2019 0.993 0.083 0.273 0.398 1.603 0.504 3.372
baseline all 0.980 0.050 0.363 0.461 2.276 NaN NaN
elr all 0.982 0.050 0.347 0.453 2.381 0.522 4.442

Extended logistic regression plots

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