GMS location: 418

Random forest results

names period power significance meanSquareError absError maxError CRPS IGN
baseline winter 2016 0.994 0.042 0.318 0.420 1.847 NaN NaN
forest winter 2016 0.994 0.083 0.245 0.374 1.669 0.475 4.985
baseline winter 2017 0.991 0.050 0.359 0.441 2.510 NaN NaN
forest winter 2017 0.991 0.100 0.286 0.388 2.213 0.472 5.079
baseline winter 2018 0.993 0.171 0.398 0.471 1.856 NaN NaN
forest winter 2018 0.993 0.114 0.306 0.413 1.716 0.485 5.103
baseline winter 2019 0.987 0.000e+00 0.374 0.428 2.416 NaN NaN
forest winter 2019 0.994 0.000e+00 0.280 0.387 1.980 0.474 4.496
baseline all 0.991 0.080 0.361 0.440 2.510 NaN NaN
forest all 0.993 0.088 0.278 0.390 2.213 0.477 4.916

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 0.042 0.318 0.420 1.847 NaN NaN
elr winter 2016 0.982 0.042 0.312 0.423 2.272 0.565 5.444
baseline winter 2017 0.991 0.050 0.359 0.441 2.510 NaN NaN
elr winter 2017 0.991 0.100 0.271 0.380 2.067 0.508 3.744
baseline winter 2018 0.993 0.171 0.398 0.471 1.856 NaN NaN
elr winter 2018 0.986 0.171 0.346 0.449 1.721 0.535 4.318
baseline winter 2019 0.987 0.000e+00 0.374 0.428 2.416 NaN NaN
elr winter 2019 0.987 0.000e+00 0.292 0.419 1.850 0.498 3.648
baseline all 0.991 0.080 0.361 0.440 2.510 NaN NaN
elr all 0.986 0.097 0.306 0.419 2.272 0.528 4.338

Extended logistic regression plots

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