GMS location: 1152
Random forest results
names |
period |
power |
significance |
meanSquareError |
absError |
maxError |
CRPS |
IGN |
baseline |
winter 2016 |
0.994 |
0.042 |
0.366 |
0.462 |
2.163 |
NaN |
NaN |
forest |
winter 2016 |
0.994 |
0.042 |
0.288 |
0.404 |
2.266 |
0.442 |
2.151 |
baseline |
winter 2018 |
0.986 |
0.000e+00 |
0.333 |
0.399 |
1.788 |
NaN |
NaN |
forest |
winter 2018 |
1.000 |
0.000e+00 |
0.304 |
0.405 |
1.706 |
0.472 |
2.241 |
baseline |
winter 2019 |
1.000 |
NaN |
0.502 |
0.491 |
2.004 |
NaN |
NaN |
forest |
winter 2019 |
1.000 |
NaN |
0.396 |
0.440 |
1.876 |
0.432 |
1.997 |
baseline |
all |
0.993 |
0.032 |
0.372 |
0.450 |
2.163 |
NaN |
NaN |
forest |
all |
0.996 |
0.032 |
0.304 |
0.408 |
2.266 |
0.449 |
2.157 |
Random forest plots
Extended logistic regression results
names |
period |
power |
significance |
meanSquareError |
absError |
maxError |
CRPS |
IGN |
baseline |
winter 2016 |
0.994 |
0.042 |
0.366 |
0.462 |
2.163 |
NaN |
NaN |
elr |
winter 2016 |
0.989 |
0.042 |
0.366 |
0.470 |
2.589 |
0.571 |
4.578 |
baseline |
winter 2018 |
0.986 |
0.000e+00 |
0.333 |
0.399 |
1.788 |
NaN |
NaN |
elr |
winter 2018 |
1.000 |
0.000e+00 |
0.327 |
0.442 |
1.822 |
0.555 |
4.189 |
baseline |
winter 2019 |
1.000 |
NaN |
0.502 |
0.491 |
2.004 |
NaN |
NaN |
elr |
winter 2019 |
1.000 |
NaN |
0.488 |
0.488 |
2.202 |
0.446 |
2.997 |
baseline |
all |
0.993 |
0.032 |
0.372 |
0.450 |
2.163 |
NaN |
NaN |
elr |
all |
0.993 |
0.032 |
0.369 |
0.465 |
2.589 |
0.554 |
4.317 |
Extended logistic regression plots