GMS location: 1238
Random forest results
names |
period |
power |
significance |
meanSquareError |
absError |
maxError |
CRPS |
IGN |
baseline |
winter 2018 |
0.973 |
0.000e+00 |
0.284 |
0.387 |
1.987 |
NaN |
NaN |
forest |
winter 2018 |
1.000 |
0.000e+00 |
0.305 |
0.434 |
1.913 |
0.461 |
3.763 |
baseline |
winter 2019 |
0.983 |
0.071 |
0.314 |
0.415 |
2.013 |
NaN |
NaN |
forest |
winter 2019 |
0.991 |
0.000e+00 |
0.316 |
0.420 |
1.912 |
0.486 |
3.104 |
baseline |
all |
0.980 |
0.030 |
0.305 |
0.407 |
2.013 |
NaN |
NaN |
forest |
all |
0.993 |
0.000e+00 |
0.312 |
0.424 |
1.913 |
0.478 |
3.304 |
Random forest plots
Extended logistic regression results
names |
period |
power |
significance |
meanSquareError |
absError |
maxError |
CRPS |
IGN |
baseline |
winter 2018 |
0.973 |
0.000e+00 |
0.284 |
0.387 |
1.987 |
NaN |
NaN |
elr |
winter 2018 |
1.000 |
0.000e+00 |
0.333 |
0.450 |
1.745 |
0.592 |
7.808 |
baseline |
winter 2019 |
0.983 |
0.071 |
0.314 |
0.415 |
2.013 |
NaN |
NaN |
elr |
winter 2019 |
0.965 |
0.000e+00 |
0.351 |
0.441 |
1.872 |
0.629 |
1.843e+01 |
baseline |
all |
0.980 |
0.030 |
0.305 |
0.407 |
2.013 |
NaN |
NaN |
elr |
all |
0.974 |
0.000e+00 |
0.346 |
0.444 |
1.872 |
0.618 |
1.520e+01 |
Extended logistic regression plots