GMS location: 830

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.982 0.048 0.375 0.461 2.328 NaN NaN
forest winter 2016 0.982 0.048 0.326 0.411 2.238 0.507 5.250
baseline winter 2017 0.982 0.023 0.389 0.433 2.567 NaN NaN
forest winter 2017 0.982 0.023 0.302 0.384 1.942 0.470 4.044
baseline winter 2018 0.986 0.056 0.238 0.360 2.100 NaN NaN
forest winter 2018 0.993 0.056 0.226 0.355 2.202 0.481 2.885
baseline winter 2019 1.000 0.143 0.279 0.372 2.007 NaN NaN
forest winter 2019 1.000 0.095 0.220 0.355 1.902 0.488 3.661
baseline all 0.988 0.058 0.319 0.407 2.567 NaN NaN
forest all 0.990 0.050 0.268 0.377 2.238 0.487 3.973

Random forest plots

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Extended logistic regression results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.982 0.048 0.375 0.461 2.328 NaN NaN
elr winter 2016 0.988 0.000e+00 0.369 0.455 2.120 0.605 6.634
baseline winter 2017 0.982 0.023 0.389 0.433 2.567 NaN NaN
elr winter 2017 0.991 0.023 0.335 0.408 2.267 0.512 4.944
baseline winter 2018 0.986 0.056 0.238 0.360 2.100 NaN NaN
elr winter 2018 0.993 0.056 0.251 0.385 2.027 0.562 4.743
baseline winter 2019 1.000 0.143 0.279 0.372 2.007 NaN NaN
elr winter 2019 1.000 0.143 0.254 0.393 1.848 0.525 4.076
baseline all 0.988 0.058 0.319 0.407 2.567 NaN NaN
elr all 0.993 0.050 0.302 0.411 2.267 0.554 5.142

Extended logistic regression plots

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