GMS location: 412

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.989 0.000e+00 0.319 0.420 2.183 NaN NaN
forest winter 2016 0.983 0.000e+00 0.251 0.364 2.430 0.445 6.391
baseline winter 2017 0.991 0.026 0.400 0.444 2.521 NaN NaN
forest winter 2017 0.965 0.026 0.293 0.391 1.875 0.446 4.784
baseline winter 2018 0.984 0.071 0.362 0.461 1.740 NaN NaN
forest winter 2018 0.992 0.071 0.273 0.384 1.792 0.447 4.863
baseline winter 2019 0.985 0.000e+00 0.359 0.426 2.348 NaN NaN
forest winter 2019 0.978 0.000e+00 0.253 0.366 1.825 0.449 3.896
baseline all 0.987 0.028 0.357 0.436 2.521 NaN NaN
forest all 0.980 0.028 0.267 0.375 2.430 0.447 5.096

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 0.000e+00 0.319 0.420 2.183 NaN NaN
elr winter 2016 0.977 0.000e+00 0.268 0.401 2.261 0.511 4.523
baseline winter 2017 0.991 0.026 0.400 0.444 2.521 NaN NaN
elr winter 2017 0.957 0.026 0.344 0.411 2.248 0.514 5.225
baseline winter 2018 0.984 0.071 0.362 0.461 1.740 NaN NaN
elr winter 2018 0.984 0.071 0.321 0.420 2.165 0.524 4.727
baseline winter 2019 0.985 0.000e+00 0.359 0.426 2.348 NaN NaN
elr winter 2019 0.978 0.000e+00 0.302 0.407 2.261 0.505 3.975
baseline all 0.987 0.028 0.357 0.436 2.521 NaN NaN
elr all 0.975 0.028 0.306 0.409 2.261 0.513 4.610

Extended logistic regression plots

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