GMS location: 422
Random forest results
names |
period |
power |
significance |
meanSquareError |
absError |
maxError |
CRPS |
IGN |
baseline |
winter 2018 |
0.961 |
0.000e+00 |
0.372 |
0.468 |
1.588 |
NaN |
NaN |
forest |
winter 2018 |
0.961 |
0.048 |
0.343 |
0.445 |
1.764 |
0.419 |
3.384 |
baseline |
winter 2019 |
0.977 |
0.000e+00 |
0.372 |
0.428 |
2.402 |
NaN |
NaN |
forest |
winter 2019 |
0.977 |
0.040 |
0.377 |
0.448 |
2.212 |
0.512 |
3.416 |
baseline |
all |
0.973 |
0.000e+00 |
0.372 |
0.441 |
2.402 |
NaN |
NaN |
forest |
all |
0.973 |
0.043 |
0.366 |
0.447 |
2.212 |
0.483 |
3.406 |
Random forest plots
Extended logistic regression results
names |
period |
power |
significance |
meanSquareError |
absError |
maxError |
CRPS |
IGN |
baseline |
winter 2018 |
0.961 |
0.000e+00 |
0.372 |
0.468 |
1.588 |
NaN |
NaN |
elr |
winter 2018 |
0.980 |
0.048 |
0.352 |
0.463 |
1.655 |
0.472 |
3.206 |
baseline |
winter 2019 |
0.977 |
0.000e+00 |
0.372 |
0.428 |
2.402 |
NaN |
NaN |
elr |
winter 2019 |
0.992 |
0.040 |
0.388 |
0.464 |
2.265 |
0.556 |
4.264 |
baseline |
all |
0.973 |
0.000e+00 |
0.372 |
0.441 |
2.402 |
NaN |
NaN |
elr |
all |
0.989 |
0.043 |
0.377 |
0.463 |
2.265 |
0.529 |
3.930 |
Extended logistic regression plots