GMS location: 208

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.994 0.038 0.355 0.462 1.914 NaN NaN
forest winter 2016 0.988 0.000e+00 0.303 0.412 1.833 0.528 8.557
baseline winter 2017 0.965 0.075 0.386 0.463 2.446 NaN NaN
forest winter 2017 0.956 0.100 0.333 0.419 1.840 0.502 5.455
baseline winter 2018 0.993 0.129 0.347 0.443 1.816 NaN NaN
forest winter 2018 0.986 0.065 0.273 0.401 1.514 0.522 4.986
baseline winter 2019 0.986 0.062 0.284 0.393 2.050 NaN NaN
forest winter 2019 0.986 0.062 0.213 0.340 1.471 0.523 4.431
baseline all 0.986 0.080 0.344 0.441 2.446 NaN NaN
forest all 0.981 0.062 0.281 0.394 1.840 0.519 5.977

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 0.994 0.038 0.355 0.462 1.914 NaN NaN
elr winter 2016 0.988 0.000e+00 0.324 0.443 1.740 0.601 6.322
baseline winter 2017 0.965 0.075 0.386 0.463 2.446 NaN NaN
elr winter 2017 0.956 0.125 0.364 0.447 2.291 0.572 6.010
baseline winter 2018 0.993 0.129 0.347 0.443 1.816 NaN NaN
elr winter 2018 0.986 0.065 0.298 0.433 1.612 0.607 6.959
baseline winter 2019 0.986 0.062 0.284 0.393 2.050 NaN NaN
elr winter 2019 0.986 0.062 0.214 0.354 1.194 0.546 4.722
baseline all 0.986 0.080 0.344 0.441 2.446 NaN NaN
elr all 0.981 0.071 0.301 0.421 2.291 0.583 6.040

Extended logistic regression plots

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