GMS location: 602

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.988 0.095 0.326 0.430 2.102 NaN NaN
forest winter 2016 0.983 0.095 0.281 0.391 1.859 0.542 5.024
baseline winter 2017 0.958 0.059 0.410 0.469 2.636 NaN NaN
forest winter 2017 0.966 0.059 0.364 0.443 2.181 0.530 4.084
baseline winter 2019 0.992 0.000e+00 0.323 0.421 1.704 NaN NaN
forest winter 2019 0.992 0.000e+00 0.276 0.402 1.392 0.523 3.912
baseline all 0.981 0.061 0.352 0.440 2.636 NaN NaN
forest all 0.981 0.061 0.306 0.411 2.181 0.533 4.412

Random forest plots

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Extended logistic regression results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.988 0.095 0.326 0.430 2.102 NaN NaN
elr winter 2016 0.983 0.095 0.332 0.458 1.704 0.663 6.325
baseline winter 2017 0.958 0.059 0.410 0.469 2.636 NaN NaN
elr winter 2017 0.950 0.029 0.407 0.465 2.531 0.584 5.309
baseline winter 2019 0.992 0.000e+00 0.323 0.421 1.704 NaN NaN
elr winter 2019 1.000 0.000e+00 0.364 0.476 1.764 0.522 3.580
baseline all 0.981 0.061 0.352 0.440 2.636 NaN NaN
elr all 0.978 0.045 0.365 0.465 2.531 0.599 5.233

Extended logistic regression plots

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