GMS location: 419

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.976 0.000e+00 0.295 0.396 2.390 NaN NaN
forest winter 2016 0.982 0.050 0.237 0.358 1.859 0.444 3.565
baseline winter 2017 0.953 0.025 0.471 0.497 2.793 NaN NaN
forest winter 2017 0.963 0.025 0.310 0.418 1.704 0.445 2.984
baseline winter 2018 0.991 0.040 0.354 0.403 2.359 NaN NaN
forest winter 2018 0.983 0.040 0.291 0.373 2.298 0.460 4.411
baseline winter 2019 0.985 0.000e+00 0.376 0.417 2.571 NaN NaN
forest winter 2019 0.985 0.000e+00 0.280 0.393 1.875 0.441 2.665
baseline all 0.977 0.020 0.369 0.426 2.793 NaN NaN
forest all 0.979 0.030 0.277 0.384 2.298 0.447 3.404

Random forest plots

My plot :) My plot :) My plot :) My plot :) My plot :) My plot :) My plot :) My plot :) My plot :) My plot :)

Extended logistic regression results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.976 0.000e+00 0.295 0.396 2.390 NaN NaN
elr winter 2016 0.976 0.000e+00 0.258 0.385 1.690 0.500 3.142
baseline winter 2017 0.953 0.025 0.471 0.497 2.793 NaN NaN
elr winter 2017 0.953 0.025 0.374 0.467 2.164 0.502 3.095
baseline winter 2018 0.991 0.040 0.354 0.403 2.359 NaN NaN
elr winter 2018 0.974 0.120 0.322 0.416 2.263 0.500 3.418
baseline winter 2019 0.985 0.000e+00 0.376 0.417 2.571 NaN NaN
elr winter 2019 0.985 0.071 0.331 0.453 1.925 0.491 3.592
baseline all 0.977 0.020 0.369 0.426 2.793 NaN NaN
elr all 0.973 0.051 0.317 0.427 2.263 0.498 3.299

Extended logistic regression plots

My plot :) My plot :) My plot :) My plot :) My plot :) My plot :) My plot :) My plot :) My plot :) My plot :)