GMS location: 102

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.994 0.069 0.395 0.461 2.353 NaN NaN
forest winter 2016 0.983 0.035 0.295 0.394 2.144 0.458 3.561
baseline winter 2017 0.974 0.081 0.560 0.527 2.991 NaN NaN
forest winter 2017 0.974 0.027 0.397 0.451 2.138 0.462 3.294
baseline winter 2018 0.986 0.111 0.373 0.458 2.652 NaN NaN
forest winter 2018 0.993 0.083 0.303 0.418 2.053 0.469 2.919
baseline winter 2019 1.000 0.000e+00 0.258 0.357 1.823 NaN NaN
forest winter 2019 1.000 0.000e+00 0.180 0.323 1.334 0.434 2.498
baseline all 0.988 0.085 0.411 0.463 2.991 NaN NaN
forest all 0.986 0.047 0.308 0.406 2.144 0.459 3.172

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 0.069 0.395 0.461 2.353 NaN NaN
elr winter 2016 0.989 0.035 0.339 0.442 1.959 0.539 4.180
baseline winter 2017 0.974 0.081 0.560 0.527 2.991 NaN NaN
elr winter 2017 0.974 0.027 0.458 0.490 2.607 0.484 3.198
baseline winter 2018 0.986 0.111 0.373 0.458 2.652 NaN NaN
elr winter 2018 0.993 0.111 0.346 0.449 2.273 0.526 3.640
baseline winter 2019 1.000 0.000e+00 0.258 0.357 1.823 NaN NaN
elr winter 2019 1.000 0.000e+00 0.260 0.404 1.620 0.494 2.989
baseline all 0.988 0.085 0.411 0.463 2.991 NaN NaN
elr all 0.988 0.057 0.360 0.451 2.607 0.516 3.629

Extended logistic regression plots

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