GMS location: 1174

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.994 0.000e+00 0.292 0.396 1.799 NaN NaN
forest winter 2016 1.000 0.050 0.262 0.377 1.740 0.500 3.820
baseline winter 2018 0.979 0.105 0.277 0.386 2.034 NaN NaN
forest winter 2018 0.993 0.132 0.266 0.384 1.935 0.516 4.744
baseline winter 2019 0.987 0.000e+00 0.331 0.429 1.947 NaN NaN
forest winter 2019 0.993 0.000e+00 0.264 0.393 1.678 0.513 4.811
baseline all 0.987 0.056 0.299 0.403 2.034 NaN NaN
forest all 0.996 0.085 0.264 0.384 1.935 0.510 4.435

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 0.000e+00 0.292 0.396 1.799 NaN NaN
elr winter 2016 0.994 0.000e+00 0.290 0.415 1.615 0.589 5.833
baseline winter 2018 0.979 0.105 0.277 0.386 2.034 NaN NaN
elr winter 2018 0.986 0.158 0.323 0.419 2.486 0.575 5.336
baseline winter 2019 0.987 0.000e+00 0.331 0.429 1.947 NaN NaN
elr winter 2019 1.000 0.000e+00 0.288 0.408 1.959 0.521 4.039
baseline all 0.987 0.056 0.299 0.403 2.034 NaN NaN
elr all 0.994 0.085 0.300 0.414 2.486 0.564 5.121

Extended logistic regression plots

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