GMS location: 1155

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.983 0.080 0.337 0.431 1.985 NaN NaN
forest winter 2016 0.983 0.080 0.273 0.383 1.685 0.504 3.213
baseline winter 2017 0.959 0.000e+00 0.420 0.478 1.999 NaN NaN
forest winter 2017 0.959 0.000e+00 0.325 0.426 1.867 0.510 3.492
baseline winter 2018 0.992 0.114 0.358 0.434 2.209 NaN NaN
forest winter 2018 0.977 0.057 0.339 0.431 2.324 0.518 3.318
baseline winter 2019 0.985 0.000e+00 0.326 0.427 2.093 NaN NaN
forest winter 2019 0.985 0.000e+00 0.260 0.377 1.845 0.524 3.278
baseline all 0.980 0.059 0.359 0.442 2.209 NaN NaN
forest all 0.977 0.039 0.299 0.404 2.324 0.513 3.318

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 0.080 0.337 0.431 1.985 NaN NaN
elr winter 2016 0.977 0.040 0.292 0.413 1.642 0.559 4.228
baseline winter 2017 0.959 0.000e+00 0.420 0.478 1.999 NaN NaN
elr winter 2017 0.959 0.000e+00 0.365 0.465 1.747 0.599 5.272
baseline winter 2018 0.992 0.114 0.358 0.434 2.209 NaN NaN
elr winter 2018 0.985 0.086 0.348 0.454 2.261 0.579 5.056
baseline winter 2019 0.985 0.000e+00 0.326 0.427 2.093 NaN NaN
elr winter 2019 0.992 0.000e+00 0.271 0.382 1.961 0.552 3.974
baseline all 0.980 0.059 0.359 0.442 2.209 NaN NaN
elr all 0.978 0.039 0.319 0.429 2.261 0.572 4.626

Extended logistic regression plots

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