GMS location: 1221

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.975 0.091 0.335 0.441 1.944 NaN NaN
forest winter 2016 0.982 0.091 0.244 0.377 1.897 0.504 3.006
baseline winter 2017 0.974 0.086 0.587 0.543 2.667 NaN NaN
forest winter 2017 1.000 0.086 0.423 0.469 2.420 0.503 4.075
baseline winter 2018 0.986 0.108 0.432 0.470 2.379 NaN NaN
forest winter 2018 0.993 0.108 0.386 0.443 2.200 0.497 2.891
baseline winter 2019 0.988 0.000e+00 0.303 0.403 1.786 NaN NaN
forest winter 2019 0.994 0.000e+00 0.255 0.369 1.676 0.488 2.885
baseline all 0.981 0.085 0.406 0.461 2.667 NaN NaN
forest all 0.991 0.085 0.322 0.412 2.420 0.498 3.178

Random forest plots

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Extended logistic regression results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.975 0.091 0.335 0.441 1.944 NaN NaN
elr winter 2016 0.982 0.091 0.304 0.431 1.971 0.602 4.530
baseline winter 2017 0.974 0.086 0.587 0.543 2.667 NaN NaN
elr winter 2017 0.983 0.086 0.537 0.535 2.540 0.573 5.343
baseline winter 2018 0.986 0.108 0.432 0.470 2.379 NaN NaN
elr winter 2018 0.986 0.081 0.445 0.485 2.352 0.582 4.549
baseline winter 2019 0.988 0.000e+00 0.303 0.403 1.786 NaN NaN
elr winter 2019 0.994 0.000e+00 0.343 0.442 2.417 0.551 3.557
baseline all 0.981 0.085 0.406 0.461 2.667 NaN NaN
elr all 0.986 0.076 0.401 0.470 2.540 0.578 4.470

Extended logistic regression plots

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