GMS location: 813
Random forest results
names |
period |
power |
significance |
meanSquareError |
absError |
maxError |
CRPS |
IGN |
baseline |
winter 2017 |
0.950 |
0.032 |
0.382 |
0.452 |
2.304 |
NaN |
NaN |
forest |
winter 2017 |
0.975 |
0.097 |
0.243 |
0.371 |
1.675 |
0.448 |
3.124 |
baseline |
winter 2018 |
0.985 |
0.042 |
0.351 |
0.453 |
2.001 |
NaN |
NaN |
forest |
winter 2018 |
0.993 |
0.042 |
0.292 |
0.398 |
2.014 |
0.443 |
5.266 |
baseline |
winter 2019 |
0.993 |
0.000e+00 |
0.344 |
0.438 |
2.701 |
NaN |
NaN |
forest |
winter 2019 |
0.993 |
0.000e+00 |
0.231 |
0.359 |
1.577 |
0.412 |
2.311 |
baseline |
all |
0.978 |
0.029 |
0.359 |
0.447 |
2.701 |
NaN |
NaN |
forest |
all |
0.988 |
0.059 |
0.255 |
0.376 |
2.014 |
0.434 |
3.572 |
Random forest plots
Extended logistic regression results
names |
period |
power |
significance |
meanSquareError |
absError |
maxError |
CRPS |
IGN |
baseline |
winter 2017 |
0.950 |
0.032 |
0.382 |
0.452 |
2.304 |
NaN |
NaN |
elr |
winter 2017 |
0.959 |
0.065 |
0.287 |
0.425 |
1.733 |
0.540 |
6.443 |
baseline |
winter 2018 |
0.985 |
0.042 |
0.351 |
0.453 |
2.001 |
NaN |
NaN |
elr |
winter 2018 |
0.985 |
0.042 |
0.301 |
0.406 |
1.891 |
0.500 |
5.535 |
baseline |
winter 2019 |
0.993 |
0.000e+00 |
0.344 |
0.438 |
2.701 |
NaN |
NaN |
elr |
winter 2019 |
0.993 |
0.000e+00 |
0.232 |
0.357 |
1.755 |
0.463 |
3.947 |
baseline |
all |
0.978 |
0.029 |
0.359 |
0.447 |
2.701 |
NaN |
NaN |
elr |
all |
0.980 |
0.044 |
0.273 |
0.396 |
1.891 |
0.500 |
5.286 |
Extended logistic regression plots