GMS location: 255

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.982 0.091 0.382 0.458 1.900 NaN NaN
forest winter 2016 0.976 0.091 0.316 0.410 1.716 0.547 4.553
baseline winter 2017 0.973 0.049 0.328 0.414 2.390 NaN NaN
forest winter 2017 0.973 0.024 0.276 0.384 1.748 0.508 3.076
baseline winter 2018 0.986 0.135 0.405 0.469 1.973 NaN NaN
forest winter 2018 0.978 0.108 0.366 0.458 2.025 0.535 3.825
baseline winter 2019 0.985 0.000e+00 0.346 0.424 2.150 NaN NaN
forest winter 2019 0.985 0.000e+00 0.280 0.384 1.495 0.537 3.401
baseline all 0.982 0.080 0.368 0.443 2.390 NaN NaN
forest all 0.978 0.062 0.312 0.411 2.025 0.532 3.769

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 0.982 0.091 0.382 0.458 1.900 NaN NaN
elr winter 2016 0.976 0.045 0.340 0.453 1.615 0.591 4.292
baseline winter 2017 0.973 0.049 0.328 0.414 2.390 NaN NaN
elr winter 2017 0.973 0.049 0.302 0.401 2.234 0.533 3.844
baseline winter 2018 0.986 0.135 0.405 0.469 1.973 NaN NaN
elr winter 2018 0.993 0.108 0.415 0.491 1.938 0.568 4.327
baseline winter 2019 0.985 0.000e+00 0.346 0.424 2.150 NaN NaN
elr winter 2019 0.985 0.000e+00 0.324 0.432 1.576 0.557 4.089
baseline all 0.982 0.080 0.368 0.443 2.390 NaN NaN
elr all 0.982 0.062 0.348 0.446 2.234 0.564 4.154

Extended logistic regression plots

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