GMS location: 354
Random forest results
names |
period |
power |
significance |
meanSquareError |
absError |
maxError |
CRPS |
IGN |
baseline |
winter 2018 |
0.987 |
0.036 |
0.696 |
0.576 |
3.438 |
NaN |
NaN |
forest |
winter 2018 |
0.987 |
0.071 |
0.643 |
0.536 |
4.114 |
0.460 |
6.050 |
baseline |
winter 2019 |
0.961 |
0.000e+00 |
0.272 |
0.379 |
1.921 |
NaN |
NaN |
forest |
winter 2019 |
0.980 |
0.000e+00 |
0.199 |
0.313 |
1.556 |
0.432 |
1.455 |
baseline |
all |
0.976 |
0.026 |
0.533 |
0.500 |
3.438 |
NaN |
NaN |
forest |
all |
0.984 |
0.051 |
0.472 |
0.450 |
4.114 |
0.449 |
4.278 |
Random forest plots
Extended logistic regression results
names |
period |
power |
significance |
meanSquareError |
absError |
maxError |
CRPS |
IGN |
baseline |
winter 2018 |
0.987 |
0.036 |
0.696 |
0.576 |
3.438 |
NaN |
NaN |
elr |
winter 2018 |
0.987 |
0.036 |
0.579 |
0.523 |
3.984 |
0.562 |
9.917 |
baseline |
winter 2019 |
0.961 |
0.000e+00 |
0.272 |
0.379 |
1.921 |
NaN |
NaN |
elr |
winter 2019 |
0.961 |
0.000e+00 |
0.236 |
0.373 |
1.374 |
0.445 |
1.394 |
baseline |
all |
0.976 |
0.026 |
0.533 |
0.500 |
3.438 |
NaN |
NaN |
elr |
all |
0.976 |
0.026 |
0.447 |
0.466 |
3.984 |
0.516 |
6.630 |
Extended logistic regression plots