GMS location: 711

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.995 0.000e+00 0.282 0.394 1.746 NaN NaN
forest winter 2016 1.000 0.083 0.226 0.364 1.726 0.476 4.288
baseline winter 2017 0.970 0.050 0.336 0.440 2.123 NaN NaN
forest winter 2017 0.993 0.000e+00 0.225 0.364 1.645 0.473 4.932
baseline winter 2018 0.982 0.050 0.341 0.449 1.880 NaN NaN
forest winter 2018 1.000 0.100 0.238 0.370 1.492 0.464 4.043
baseline winter 2019 0.987 0.100 0.263 0.366 2.296 NaN NaN
forest winter 2019 0.987 0.000e+00 0.204 0.335 1.612 0.466 4.227
baseline all 0.985 0.048 0.304 0.411 2.296 NaN NaN
forest all 0.995 0.048 0.224 0.359 1.726 0.470 4.350

Random forest plots

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Extended logistic regression results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.995 0.000e+00 0.282 0.394 1.746 NaN NaN
elr winter 2016 1.000 0.083 0.229 0.372 1.777 0.530 5.329
baseline winter 2017 0.970 0.050 0.336 0.440 2.123 NaN NaN
elr winter 2017 0.993 0.050 0.250 0.386 1.680 0.523 5.104
baseline winter 2018 0.982 0.050 0.341 0.449 1.880 NaN NaN
elr winter 2018 1.000 0.100 0.270 0.406 1.634 0.512 5.400
baseline winter 2019 0.987 0.100 0.263 0.366 2.296 NaN NaN
elr winter 2019 0.987 0.100 0.215 0.353 1.511 0.497 4.498
baseline all 0.985 0.048 0.304 0.411 2.296 NaN NaN
elr all 0.995 0.081 0.241 0.379 1.777 0.516 5.104

Extended logistic regression plots

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