GMS location: 1153

Random forest results

names period power meanSquareError absError maxError CRPS IGN significance
baseline winter 2016 1.000 1.785e+01 3.252 8.841 NaN NaN NaN
forest winter 2016 1.000 1.676e+01 3.208 8.283 0.598 2.340 NaN
baseline winter 2018 0.986 0.319 0.405 1.927 NaN NaN 0.081
forest winter 2018 0.986 0.442 0.505 1.834 0.652 1.983 0.108
baseline winter 2019 0.992 0.365 0.450 1.742 NaN NaN 0.000e+00
forest winter 2019 1.000 0.292 0.392 1.974 0.581 1.632 0.000e+00
baseline all 0.989 0.821 0.502 8.841 NaN NaN 0.064
forest all 0.993 0.829 0.533 8.283 0.621 1.847 0.085

Random forest plots

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Extended logistic regression results

names period power meanSquareError absError maxError CRPS IGN significance
baseline winter 2016 1.000 1.785e+01 3.252 8.841 NaN NaN NaN
elr winter 2016 1.000 1.676e+01 3.239 8.570 0.737 7.553 NaN
baseline winter 2018 0.986 0.319 0.405 1.927 NaN NaN 0.081
elr winter 2018 0.959 0.719 0.595 4.473 0.650 1.754 0.189
baseline winter 2019 0.992 0.365 0.450 1.742 NaN NaN 0.000e+00
elr winter 2019 0.992 0.300 0.406 1.983 0.518 1.345 0.000e+00
baseline all 0.989 0.821 0.502 8.841 NaN NaN 0.064
elr all 0.975 0.986 0.589 8.570 0.598 1.744 0.149

Extended logistic regression plots

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