GMS location: 1216

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.988 0.083 0.332 0.428 2.125 NaN NaN
forest winter 2016 0.994 0.042 0.260 0.383 1.742 0.566 3.253
baseline winter 2017 0.992 0.057 0.604 0.555 2.304 NaN NaN
forest winter 2017 0.992 0.000e+00 0.497 0.490 2.233 0.551 4.480
baseline winter 2018 0.973 0.143 0.398 0.434 2.915 NaN NaN
forest winter 2018 0.980 0.071 0.383 0.437 2.720 0.579 3.449
baseline winter 2019 1.000 0.071 0.261 0.390 1.596 NaN NaN
forest winter 2019 1.000 0.071 0.213 0.351 1.627 0.557 2.835
baseline all 0.988 0.089 0.392 0.449 2.915 NaN NaN
forest all 0.992 0.040 0.333 0.413 2.720 0.564 3.475

Random forest plots

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Extended logistic regression results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.988 0.083 0.332 0.428 2.125 NaN NaN
elr winter 2016 0.988 0.000e+00 0.325 0.452 1.921 0.680 5.086
baseline winter 2017 0.992 0.057 0.604 0.555 2.304 NaN NaN
elr winter 2017 0.992 0.029 0.541 0.528 2.333 0.626 6.288
baseline winter 2018 0.973 0.143 0.398 0.434 2.915 NaN NaN
elr winter 2018 0.980 0.071 0.370 0.453 2.639 0.660 5.266
baseline winter 2019 1.000 0.071 0.261 0.390 1.596 NaN NaN
elr winter 2019 1.000 0.071 0.277 0.411 1.727 0.604 4.140
baseline all 0.988 0.089 0.392 0.449 2.915 NaN NaN
elr all 0.990 0.040 0.373 0.459 2.639 0.645 5.171

Extended logistic regression plots

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