GMS location: 1205

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.988 0.031 0.338 0.423 1.991 NaN NaN
forest winter 2016 1.000 0.031 0.255 0.368 1.775 0.513 4.366
baseline winter 2017 1.000 0.029 0.446 0.477 2.368 NaN NaN
forest winter 2017 0.992 0.029 0.376 0.434 1.984 0.512 5.159
baseline winter 2018 0.993 0.036 0.345 0.423 2.253 NaN NaN
forest winter 2018 0.993 0.036 0.325 0.416 2.198 0.547 4.046
baseline winter 2019 1.000 0.077 0.228 0.351 1.838 NaN NaN
forest winter 2019 1.000 0.077 0.190 0.334 1.286 0.525 3.644
baseline all 0.995 0.037 0.340 0.419 2.368 NaN NaN
forest all 0.996 0.037 0.286 0.388 2.198 0.524 4.306

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 0.988 0.031 0.338 0.423 1.991 NaN NaN
elr winter 2016 0.982 0.094 0.259 0.395 1.778 0.606 5.506
baseline winter 2017 1.000 0.029 0.446 0.477 2.368 NaN NaN
elr winter 2017 0.992 0.029 0.407 0.461 2.314 0.562 6.468
baseline winter 2018 0.993 0.036 0.345 0.423 2.253 NaN NaN
elr winter 2018 0.993 0.000e+00 0.338 0.451 2.009 0.637 6.920
baseline winter 2019 1.000 0.077 0.228 0.351 1.838 NaN NaN
elr winter 2019 1.000 0.077 0.231 0.388 1.490 0.585 5.425
baseline all 0.995 0.037 0.340 0.419 2.368 NaN NaN
elr all 0.991 0.047 0.307 0.423 2.314 0.599 6.065

Extended logistic regression plots

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