GMS location: 568
Random forest results
names |
period |
power |
significance |
meanSquareError |
absError |
maxError |
CRPS |
IGN |
baseline |
winter 2016 |
0.995 |
0.071 |
0.416 |
0.488 |
2.137 |
NaN |
NaN |
forest |
winter 2016 |
1.000 |
0.071 |
0.406 |
0.495 |
2.113 |
0.545 |
3.434 |
baseline |
winter 2017 |
0.944 |
0.103 |
0.459 |
0.494 |
2.774 |
NaN |
NaN |
forest |
winter 2017 |
0.927 |
0.069 |
0.392 |
0.450 |
2.505 |
0.557 |
2.914 |
baseline |
winter 2018 |
0.993 |
0.042 |
0.322 |
0.417 |
2.004 |
NaN |
NaN |
forest |
winter 2018 |
0.993 |
0.042 |
0.270 |
0.388 |
1.938 |
0.535 |
2.380 |
baseline |
all |
0.980 |
0.075 |
0.398 |
0.467 |
2.774 |
NaN |
NaN |
forest |
all |
0.978 |
0.060 |
0.358 |
0.447 |
2.505 |
0.545 |
2.941 |
Random forest plots
Extended logistic regression results
names |
period |
power |
significance |
meanSquareError |
absError |
maxError |
CRPS |
IGN |
baseline |
winter 2016 |
0.995 |
0.071 |
0.416 |
0.488 |
2.137 |
NaN |
NaN |
elr |
winter 2016 |
1.000 |
0.071 |
0.414 |
0.507 |
1.835 |
0.627 |
5.965 |
baseline |
winter 2017 |
0.944 |
0.103 |
0.459 |
0.494 |
2.774 |
NaN |
NaN |
elr |
winter 2017 |
0.927 |
0.069 |
0.448 |
0.492 |
2.664 |
0.627 |
4.795 |
baseline |
winter 2018 |
0.993 |
0.042 |
0.322 |
0.417 |
2.004 |
NaN |
NaN |
elr |
winter 2018 |
0.993 |
0.042 |
0.261 |
0.390 |
1.719 |
0.590 |
3.634 |
baseline |
all |
0.980 |
0.075 |
0.398 |
0.467 |
2.774 |
NaN |
NaN |
elr |
all |
0.978 |
0.060 |
0.374 |
0.464 |
2.664 |
0.615 |
4.869 |
Extended logistic regression plots