GMS location: 1230

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 1.000 0.100 0.343 0.423 2.286 NaN NaN
forest winter 2016 0.989 0.100 0.246 0.379 1.846 0.635 4.441
baseline winter 2017 0.992 0.067 0.317 0.427 1.922 NaN NaN
forest winter 2017 0.992 0.033 0.247 0.357 1.737 0.637 4.503
baseline winter 2018 0.974 0.107 0.450 0.485 2.934 NaN NaN
forest winter 2018 0.947 0.071 0.411 0.442 3.123 0.650 5.333
baseline winter 2019 0.993 0.091 0.377 0.481 1.779 NaN NaN
forest winter 2019 0.993 0.091 0.228 0.353 1.401 0.668 5.350
baseline all 0.990 0.090 0.372 0.453 2.934 NaN NaN
forest all 0.980 0.067 0.285 0.385 3.123 0.647 4.890

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 1.000 0.100 0.343 0.423 2.286 NaN NaN
elr winter 2016 0.984 0.050 0.284 0.405 1.799 0.771 1.160e+01
baseline winter 2017 0.992 0.067 0.317 0.427 1.922 NaN NaN
elr winter 2017 0.984 0.033 0.286 0.391 2.052 0.731 1.039e+01
baseline winter 2018 0.974 0.107 0.450 0.485 2.934 NaN NaN
elr winter 2018 0.961 0.071 0.395 0.442 3.025 0.740 1.167e+01
baseline winter 2019 0.993 0.091 0.377 0.481 1.779 NaN NaN
elr winter 2019 0.993 0.000e+00 0.240 0.365 1.440 0.764 9.697
baseline all 0.990 0.090 0.372 0.453 2.934 NaN NaN
elr all 0.980 0.045 0.303 0.403 3.025 0.752 1.093e+01

Extended logistic regression plots

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