GMS location: 1153
Random forest results
names |
period |
power |
meanSquareError |
absError |
maxError |
CRPS |
IGN |
significance |
baseline |
winter 2016 |
1.000 |
1.785e+01 |
3.252 |
8.841 |
NaN |
NaN |
NaN |
forest |
winter 2016 |
1.000 |
1.676e+01 |
3.208 |
8.283 |
0.598 |
2.340 |
NaN |
baseline |
winter 2018 |
0.986 |
0.319 |
0.405 |
1.927 |
NaN |
NaN |
0.081 |
forest |
winter 2018 |
0.986 |
0.442 |
0.505 |
1.834 |
0.652 |
1.983 |
0.108 |
baseline |
winter 2019 |
0.992 |
0.365 |
0.450 |
1.742 |
NaN |
NaN |
0.000e+00 |
forest |
winter 2019 |
1.000 |
0.292 |
0.392 |
1.974 |
0.581 |
1.632 |
0.000e+00 |
baseline |
all |
0.989 |
0.821 |
0.502 |
8.841 |
NaN |
NaN |
0.064 |
forest |
all |
0.993 |
0.829 |
0.533 |
8.283 |
0.621 |
1.847 |
0.085 |
Random forest plots
Extended logistic regression results
names |
period |
power |
meanSquareError |
absError |
maxError |
CRPS |
IGN |
significance |
baseline |
winter 2016 |
1.000 |
1.785e+01 |
3.252 |
8.841 |
NaN |
NaN |
NaN |
elr |
winter 2016 |
1.000 |
1.676e+01 |
3.239 |
8.570 |
0.737 |
7.553 |
NaN |
baseline |
winter 2018 |
0.986 |
0.319 |
0.405 |
1.927 |
NaN |
NaN |
0.081 |
elr |
winter 2018 |
0.959 |
0.719 |
0.595 |
4.473 |
0.650 |
1.754 |
0.189 |
baseline |
winter 2019 |
0.992 |
0.365 |
0.450 |
1.742 |
NaN |
NaN |
0.000e+00 |
elr |
winter 2019 |
0.992 |
0.300 |
0.406 |
1.983 |
0.518 |
1.345 |
0.000e+00 |
baseline |
all |
0.989 |
0.821 |
0.502 |
8.841 |
NaN |
NaN |
0.064 |
elr |
all |
0.975 |
0.986 |
0.589 |
8.570 |
0.598 |
1.744 |
0.149 |
Extended logistic regression plots