GMS location: 1150

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.994 0.094 0.387 0.460 2.200 NaN NaN
forest winter 2016 0.994 0.062 0.304 0.404 1.819 0.512 2.989
baseline winter 2017 0.983 0.057 0.544 0.528 2.599 NaN NaN
forest winter 2017 0.983 0.000e+00 0.347 0.423 2.035 0.505 3.535
baseline winter 2018 0.985 0.130 0.425 0.462 2.563 NaN NaN
forest winter 2018 0.978 0.109 0.353 0.425 2.329 0.513 3.067
baseline winter 2019 0.986 0.000e+00 0.365 0.424 2.461 NaN NaN
forest winter 2019 0.993 0.000e+00 0.216 0.342 2.152 0.512 3.252
baseline all 0.988 0.087 0.427 0.468 2.599 NaN NaN
forest all 0.988 0.056 0.307 0.400 2.329 0.511 3.188

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 0.994 0.094 0.387 0.460 2.200 NaN NaN
elr winter 2016 0.994 0.031 0.371 0.477 1.954 0.628 4.114
baseline winter 2017 0.983 0.057 0.544 0.528 2.599 NaN NaN
elr winter 2017 0.983 0.000e+00 0.440 0.496 2.393 0.548 3.635
baseline winter 2018 0.985 0.130 0.425 0.462 2.563 NaN NaN
elr winter 2018 0.978 0.087 0.405 0.471 2.579 0.587 3.888
baseline winter 2019 0.986 0.000e+00 0.365 0.424 2.461 NaN NaN
elr winter 2019 0.993 0.000e+00 0.304 0.404 2.751 0.522 2.821
baseline all 0.988 0.087 0.427 0.468 2.599 NaN NaN
elr all 0.988 0.040 0.380 0.464 2.751 0.576 3.666

Extended logistic regression plots

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