GMS location: 570

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 1.000 0.000e+00 0.377 0.445 2.612 NaN NaN
forest winter 2016 1.000 0.100 0.328 0.416 2.615 0.437 4.750
baseline winter 2017 0.976 0.000e+00 0.379 0.460 2.565 NaN NaN
forest winter 2017 0.984 0.040 0.269 0.395 1.540 0.449 3.553
baseline winter 2018 0.992 0.091 0.298 0.405 1.830 NaN NaN
forest winter 2018 1.000 0.091 0.236 0.362 1.731 0.440 2.630
baseline winter 2019 0.993 0.000e+00 0.340 0.395 2.107 NaN NaN
forest winter 2019 0.993 0.000e+00 0.251 0.363 1.591 0.439 3.137
baseline all 0.992 0.018 0.351 0.428 2.612 NaN NaN
forest all 0.995 0.054 0.276 0.387 2.615 0.441 3.616

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 1.000 0.000e+00 0.377 0.445 2.612 NaN NaN
elr winter 2016 1.000 0.100 0.319 0.420 2.550 0.524 4.786
baseline winter 2017 0.976 0.000e+00 0.379 0.460 2.565 NaN NaN
elr winter 2017 0.984 0.040 0.308 0.430 1.976 0.528 4.603
baseline winter 2018 0.992 0.091 0.298 0.405 1.830 NaN NaN
elr winter 2018 1.000 0.091 0.255 0.377 2.246 0.506 4.129
baseline winter 2019 0.993 0.000e+00 0.340 0.395 2.107 NaN NaN
elr winter 2019 0.986 0.000e+00 0.280 0.399 1.759 0.501 4.543
baseline all 0.992 0.018 0.351 0.428 2.612 NaN NaN
elr all 0.993 0.054 0.292 0.408 2.550 0.515 4.540

Extended logistic regression plots

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