GMS location: 513

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.988 0.191 0.419 0.490 2.400 NaN NaN
forest winter 2016 0.952 0.095 0.498 0.548 2.215 0.722 3.814
baseline winter 2017 1.000 NaN 0.265 0.373 0.959 NaN NaN
forest winter 2017 1.000 NaN 0.229 0.433 0.787 0.625 1.771
baseline winter 2018 1.000 0.100 0.505 0.500 2.809 NaN NaN
forest winter 2018 1.000 0.050 0.372 0.445 2.246 0.603 2.936
baseline winter 2019 0.993 0.333 0.503 0.529 2.730 NaN NaN
forest winter 2019 0.985 0.333 0.349 0.420 2.572 0.620 3.393
baseline all 0.993 0.183 0.471 0.504 2.809 NaN NaN
forest all 0.977 0.134 0.409 0.475 2.572 0.651 3.381

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 0.191 0.419 0.490 2.400 NaN NaN
elr winter 2016 0.958 0.048 0.531 0.574 2.028 0.831 8.022
baseline winter 2017 1.000 NaN 0.265 0.373 0.959 NaN NaN
elr winter 2017 1.000 NaN 0.342 0.498 0.975 0.726 5.595
baseline winter 2018 1.000 0.100 0.505 0.500 2.809 NaN NaN
elr winter 2018 1.000 0.050 0.357 0.431 2.243 0.689 5.581
baseline winter 2019 0.993 0.333 0.503 0.529 2.730 NaN NaN
elr winter 2019 0.985 0.286 0.366 0.436 2.481 0.698 5.282
baseline all 0.993 0.183 0.471 0.504 2.809 NaN NaN
elr all 0.979 0.110 0.423 0.485 2.481 0.743 6.380

Extended logistic regression plots

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