GMS location: 1152

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.994 0.042 0.366 0.462 2.163 NaN NaN
forest winter 2016 0.994 0.042 0.288 0.404 2.266 0.442 2.151
baseline winter 2018 0.986 0.000e+00 0.333 0.399 1.788 NaN NaN
forest winter 2018 1.000 0.000e+00 0.304 0.405 1.706 0.472 2.241
baseline winter 2019 1.000 NaN 0.502 0.491 2.004 NaN NaN
forest winter 2019 1.000 NaN 0.396 0.440 1.876 0.432 1.997
baseline all 0.993 0.032 0.372 0.450 2.163 NaN NaN
forest all 0.996 0.032 0.304 0.408 2.266 0.449 2.157

Random forest plots

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Extended logistic regression results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.994 0.042 0.366 0.462 2.163 NaN NaN
elr winter 2016 0.989 0.042 0.366 0.470 2.589 0.571 4.578
baseline winter 2018 0.986 0.000e+00 0.333 0.399 1.788 NaN NaN
elr winter 2018 1.000 0.000e+00 0.327 0.442 1.822 0.555 4.189
baseline winter 2019 1.000 NaN 0.502 0.491 2.004 NaN NaN
elr winter 2019 1.000 NaN 0.488 0.488 2.202 0.446 2.997
baseline all 0.993 0.032 0.372 0.450 2.163 NaN NaN
elr all 0.993 0.032 0.369 0.465 2.589 0.554 4.317

Extended logistic regression plots

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