GMS location: 954

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 1.000 0.048 0.332 0.423 2.006 NaN NaN
forest winter 2016 1.000 0.048 0.268 0.370 1.985 0.500 5.744
baseline winter 2017 0.991 0.088 0.399 0.416 2.597 NaN NaN
forest winter 2017 0.974 0.059 0.306 0.375 2.259 0.505 4.992
baseline winter 2018 0.987 0.077 0.308 0.414 2.179 NaN NaN
forest winter 2018 0.993 0.115 0.256 0.377 1.967 0.495 3.332
baseline winter 2019 0.987 0.083 0.294 0.361 2.418 NaN NaN
forest winter 2019 0.987 0.083 0.230 0.335 1.587 0.501 3.949
baseline all 0.992 0.075 0.331 0.405 2.597 NaN NaN
forest all 0.990 0.075 0.264 0.365 2.259 0.500 4.543

Random forest plots

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Extended logistic regression results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 1.000 0.048 0.332 0.423 2.006 NaN NaN
elr winter 2016 0.989 0.048 0.288 0.399 2.018 0.573 5.668
baseline winter 2017 0.991 0.088 0.399 0.416 2.597 NaN NaN
elr winter 2017 0.983 0.118 0.337 0.411 1.922 0.533 4.977
baseline winter 2018 0.987 0.077 0.308 0.414 2.179 NaN NaN
elr winter 2018 0.980 0.115 0.273 0.390 2.262 0.562 5.041
baseline winter 2019 0.987 0.083 0.294 0.361 2.418 NaN NaN
elr winter 2019 0.975 0.083 0.246 0.358 2.083 0.605 5.549
baseline all 0.992 0.075 0.331 0.405 2.597 NaN NaN
elr all 0.982 0.097 0.284 0.389 2.262 0.569 5.333

Extended logistic regression plots

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