GMS location: 907
Random forest results
names |
period |
power |
significance |
meanSquareError |
absError |
maxError |
CRPS |
IGN |
baseline |
winter 2016 |
0.983 |
0.071 |
0.363 |
0.454 |
1.725 |
NaN |
NaN |
forest |
winter 2016 |
0.994 |
0.286 |
0.243 |
0.365 |
1.803 |
0.445 |
5.194 |
baseline |
winter 2017 |
0.944 |
0.069 |
0.461 |
0.495 |
2.588 |
NaN |
NaN |
forest |
winter 2017 |
0.984 |
0.069 |
0.262 |
0.369 |
2.227 |
0.439 |
3.776 |
baseline |
winter 2018 |
0.964 |
0.133 |
0.348 |
0.447 |
1.956 |
NaN |
NaN |
forest |
winter 2018 |
0.978 |
0.167 |
0.259 |
0.385 |
2.095 |
0.432 |
3.632 |
baseline |
winter 2019 |
0.993 |
0.000e+00 |
0.403 |
0.460 |
2.175 |
NaN |
NaN |
forest |
winter 2019 |
1.000 |
0.000e+00 |
0.207 |
0.348 |
1.237 |
0.427 |
3.519 |
baseline |
all |
0.972 |
0.085 |
0.391 |
0.463 |
2.588 |
NaN |
NaN |
forest |
all |
0.990 |
0.134 |
0.244 |
0.367 |
2.227 |
0.436 |
4.084 |
Random forest plots
Extended logistic regression results
names |
period |
power |
significance |
meanSquareError |
absError |
maxError |
CRPS |
IGN |
baseline |
winter 2016 |
0.983 |
0.071 |
0.363 |
0.454 |
1.725 |
NaN |
NaN |
elr |
winter 2016 |
0.983 |
0.143 |
0.271 |
0.414 |
1.678 |
0.528 |
4.890 |
baseline |
winter 2017 |
0.944 |
0.069 |
0.461 |
0.495 |
2.588 |
NaN |
NaN |
elr |
winter 2017 |
0.976 |
0.069 |
0.336 |
0.417 |
2.329 |
0.487 |
4.736 |
baseline |
winter 2018 |
0.964 |
0.133 |
0.348 |
0.447 |
1.956 |
NaN |
NaN |
elr |
winter 2018 |
0.971 |
0.200 |
0.274 |
0.406 |
1.802 |
0.507 |
4.651 |
baseline |
winter 2019 |
0.993 |
0.000e+00 |
0.403 |
0.460 |
2.175 |
NaN |
NaN |
elr |
winter 2019 |
1.000 |
0.000e+00 |
0.231 |
0.371 |
1.455 |
0.506 |
4.346 |
baseline |
all |
0.972 |
0.085 |
0.391 |
0.463 |
2.588 |
NaN |
NaN |
elr |
all |
0.983 |
0.122 |
0.278 |
0.403 |
2.329 |
0.508 |
4.671 |
Extended logistic regression plots