GMS location: 606

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.988 0.138 0.374 0.442 2.515 NaN NaN
forest winter 2016 0.983 0.103 0.303 0.411 2.400 0.496 3.586
baseline winter 2017 0.965 0.000e+00 0.476 0.497 2.868 NaN NaN
forest winter 2017 0.974 0.000e+00 0.349 0.418 1.789 0.469 3.874
baseline winter 2018 0.973 0.069 0.444 0.456 2.834 NaN NaN
forest winter 2018 0.973 0.069 0.398 0.435 2.826 0.499 3.173
baseline winter 2019 0.993 0.091 0.255 0.368 2.059 NaN NaN
forest winter 2019 0.993 0.091 0.178 0.319 1.241 0.485 2.988
baseline all 0.981 0.065 0.388 0.441 2.868 NaN NaN
forest all 0.981 0.056 0.310 0.398 2.826 0.488 3.408

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 0.138 0.374 0.442 2.515 NaN NaN
elr winter 2016 0.994 0.103 0.338 0.436 2.451 0.550 3.483
baseline winter 2017 0.965 0.000e+00 0.476 0.497 2.868 NaN NaN
elr winter 2017 0.983 0.000e+00 0.381 0.444 2.394 0.471 2.752
baseline winter 2018 0.973 0.069 0.444 0.456 2.834 NaN NaN
elr winter 2018 0.980 0.138 0.426 0.461 3.003 0.535 3.639
baseline winter 2019 0.993 0.091 0.255 0.368 2.059 NaN NaN
elr winter 2019 0.993 0.091 0.233 0.373 1.453 0.539 2.910
baseline all 0.981 0.065 0.388 0.441 2.868 NaN NaN
elr all 0.988 0.075 0.347 0.430 3.003 0.526 3.232

Extended logistic regression plots

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