GMS location: 925

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.978 0.000e+00 0.338 0.433 1.756 NaN NaN
forest winter 2016 0.989 0.000e+00 0.260 0.378 1.593 0.471 6.539
baseline winter 2018 0.984 0.056 0.202 0.340 1.900 NaN NaN
forest winter 2018 0.984 0.111 0.172 0.307 1.873 0.458 3.064
baseline winter 2019 1.000 0.000e+00 0.283 0.406 1.641 NaN NaN
forest winter 2019 1.000 0.000e+00 0.205 0.345 1.232 0.471 4.403
baseline all 0.986 0.030 0.280 0.396 1.900 NaN NaN
forest all 0.990 0.061 0.218 0.347 1.873 0.467 4.883

Random forest plots

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Extended logistic regression results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.978 0.000e+00 0.338 0.433 1.756 NaN NaN
elr winter 2016 0.978 0.000e+00 0.276 0.401 1.803 0.562 1.310e+01
baseline winter 2018 0.984 0.056 0.202 0.340 1.900 NaN NaN
elr winter 2018 0.976 0.056 0.227 0.376 1.808 0.565 7.895
baseline winter 2019 1.000 0.000e+00 0.283 0.406 1.641 NaN NaN
elr winter 2019 1.000 0.000e+00 0.216 0.358 1.338 0.498 5.679
baseline all 0.986 0.030 0.280 0.396 1.900 NaN NaN
elr all 0.983 0.030 0.245 0.382 1.808 0.547 9.544

Extended logistic regression plots

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