GMS location: 201

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.961 0.067 0.382 0.473 1.919 NaN NaN
forest winter 2016 0.990 0.067 0.264 0.391 1.426 0.438 4.066
baseline winter 2017 0.968 0.074 0.494 0.526 2.080 NaN NaN
forest winter 2017 0.968 0.074 0.329 0.442 1.626 0.474 5.036
baseline winter 2018 0.986 0.151 0.335 0.445 1.718 NaN NaN
forest winter 2018 1.000 0.091 0.273 0.398 1.421 0.474 2.926
baseline winter 2019 0.993 0.071 0.284 0.411 1.453 NaN NaN
forest winter 2019 0.993 0.000e+00 0.223 0.354 1.492 0.456 3.014
baseline all 0.979 0.101 0.370 0.462 2.080 NaN NaN
forest all 0.988 0.067 0.272 0.396 1.626 0.462 3.698

Random forest plots

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Extended logistic regression results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.961 0.067 0.382 0.473 1.919 NaN NaN
elr winter 2016 0.990 0.067 0.301 0.426 1.671 0.504 3.853
baseline winter 2017 0.968 0.074 0.494 0.526 2.080 NaN NaN
elr winter 2017 0.968 0.037 0.423 0.504 2.032 0.554 5.397
baseline winter 2018 0.986 0.151 0.335 0.445 1.718 NaN NaN
elr winter 2018 1.000 0.151 0.293 0.426 1.613 0.548 4.524
baseline winter 2019 0.993 0.071 0.284 0.411 1.453 NaN NaN
elr winter 2019 1.000 0.071 0.267 0.399 1.582 0.512 3.821
baseline all 0.979 0.101 0.370 0.462 2.080 NaN NaN
elr all 0.990 0.090 0.320 0.438 2.032 0.531 4.426

Extended logistic regression plots

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