GMS location: 567

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 1.000 0.000e+00 0.327 0.433 2.002 NaN NaN
forest winter 2016 1.000 0.000e+00 0.301 0.418 1.808 0.524 3.955
baseline winter 2017 0.991 0.031 0.346 0.439 1.891 NaN NaN
forest winter 2017 0.982 0.031 0.279 0.386 1.492 0.517 3.926
baseline winter 2018 1.000 0.185 0.291 0.404 1.915 NaN NaN
forest winter 2018 0.994 0.222 0.248 0.373 1.571 0.528 2.851
baseline winter 2019 0.994 0.083 0.345 0.427 2.101 NaN NaN
forest winter 2019 0.987 0.083 0.303 0.404 1.843 0.521 3.574
baseline all 0.997 0.081 0.326 0.425 2.101 NaN NaN
forest all 0.992 0.093 0.283 0.396 1.843 0.523 3.570

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 0.000e+00 0.327 0.433 2.002 NaN NaN
elr winter 2016 1.000 0.000e+00 0.319 0.438 1.709 0.602 5.543
baseline winter 2017 0.991 0.031 0.346 0.439 1.891 NaN NaN
elr winter 2017 0.982 0.031 0.326 0.437 1.746 0.595 5.039
baseline winter 2018 1.000 0.185 0.291 0.404 1.915 NaN NaN
elr winter 2018 0.994 0.148 0.256 0.379 1.666 0.576 3.952
baseline winter 2019 0.994 0.083 0.345 0.427 2.101 NaN NaN
elr winter 2019 0.994 0.083 0.334 0.445 1.829 0.527 4.101
baseline all 0.997 0.081 0.326 0.425 2.101 NaN NaN
elr all 0.993 0.070 0.307 0.424 1.829 0.576 4.682

Extended logistic regression plots

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