GMS location: 205

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.978 0.038 0.443 0.512 2.046 NaN NaN
forest winter 2016 0.989 0.077 0.366 0.443 1.793 0.477 4.276
baseline winter 2017 0.957 0.053 0.480 0.506 2.210 NaN NaN
forest winter 2017 0.957 0.026 0.361 0.452 1.893 0.478 4.794
baseline winter 2018 0.986 0.108 0.350 0.437 1.689 NaN NaN
forest winter 2018 0.993 0.081 0.298 0.406 1.561 0.502 3.300
baseline winter 2019 0.993 0.000e+00 0.405 0.465 2.512 NaN NaN
forest winter 2019 0.993 0.000e+00 0.327 0.408 2.253 0.481 3.432
baseline all 0.979 0.059 0.418 0.481 2.512 NaN NaN
forest all 0.985 0.051 0.338 0.427 2.253 0.485 3.943

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 0.978 0.038 0.443 0.512 2.046 NaN NaN
elr winter 2016 0.989 0.077 0.431 0.499 1.847 0.566 3.981
baseline winter 2017 0.957 0.053 0.480 0.506 2.210 NaN NaN
elr winter 2017 0.948 0.053 0.418 0.489 2.236 0.537 3.207
baseline winter 2018 0.986 0.108 0.350 0.437 1.689 NaN NaN
elr winter 2018 0.979 0.108 0.345 0.452 1.621 0.566 3.111
baseline winter 2019 0.993 0.000e+00 0.405 0.465 2.512 NaN NaN
elr winter 2019 0.986 0.000e+00 0.325 0.408 2.148 0.599 3.986
baseline all 0.979 0.059 0.418 0.481 2.512 NaN NaN
elr all 0.978 0.068 0.381 0.464 2.236 0.567 3.589

Extended logistic regression plots

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