GMS location: 1174
Random forest results
names |
period |
power |
significance |
meanSquareError |
absError |
maxError |
CRPS |
IGN |
baseline |
winter 2016 |
0.994 |
0.000e+00 |
0.292 |
0.396 |
1.799 |
NaN |
NaN |
forest |
winter 2016 |
1.000 |
0.050 |
0.262 |
0.377 |
1.740 |
0.500 |
3.820 |
baseline |
winter 2018 |
0.979 |
0.105 |
0.277 |
0.386 |
2.034 |
NaN |
NaN |
forest |
winter 2018 |
0.993 |
0.132 |
0.266 |
0.384 |
1.935 |
0.516 |
4.744 |
baseline |
winter 2019 |
0.987 |
0.000e+00 |
0.331 |
0.429 |
1.947 |
NaN |
NaN |
forest |
winter 2019 |
0.993 |
0.000e+00 |
0.264 |
0.393 |
1.678 |
0.513 |
4.811 |
baseline |
all |
0.987 |
0.056 |
0.299 |
0.403 |
2.034 |
NaN |
NaN |
forest |
all |
0.996 |
0.085 |
0.264 |
0.384 |
1.935 |
0.510 |
4.435 |
Random forest plots
Extended logistic regression results
names |
period |
power |
significance |
meanSquareError |
absError |
maxError |
CRPS |
IGN |
baseline |
winter 2016 |
0.994 |
0.000e+00 |
0.292 |
0.396 |
1.799 |
NaN |
NaN |
elr |
winter 2016 |
0.994 |
0.000e+00 |
0.290 |
0.415 |
1.615 |
0.589 |
5.833 |
baseline |
winter 2018 |
0.979 |
0.105 |
0.277 |
0.386 |
2.034 |
NaN |
NaN |
elr |
winter 2018 |
0.986 |
0.158 |
0.323 |
0.419 |
2.486 |
0.575 |
5.336 |
baseline |
winter 2019 |
0.987 |
0.000e+00 |
0.331 |
0.429 |
1.947 |
NaN |
NaN |
elr |
winter 2019 |
1.000 |
0.000e+00 |
0.288 |
0.408 |
1.959 |
0.521 |
4.039 |
baseline |
all |
0.987 |
0.056 |
0.299 |
0.403 |
2.034 |
NaN |
NaN |
elr |
all |
0.994 |
0.085 |
0.300 |
0.414 |
2.486 |
0.564 |
5.121 |
Extended logistic regression plots