GMS location: 914
Random forest results
names |
period |
power |
significance |
meanSquareError |
absError |
maxError |
CRPS |
IGN |
baseline |
winter 2016 |
0.973 |
0.048 |
0.335 |
0.429 |
2.399 |
NaN |
NaN |
forest |
winter 2016 |
0.978 |
0.143 |
0.288 |
0.395 |
2.285 |
0.506 |
5.519 |
baseline |
winter 2017 |
0.971 |
0.024 |
0.375 |
0.421 |
2.504 |
NaN |
NaN |
forest |
winter 2017 |
0.971 |
0.049 |
0.306 |
0.381 |
1.985 |
0.464 |
4.128 |
baseline |
winter 2018 |
0.979 |
0.118 |
0.291 |
0.398 |
2.100 |
NaN |
NaN |
forest |
winter 2018 |
0.986 |
0.088 |
0.239 |
0.359 |
2.188 |
0.489 |
3.352 |
baseline |
winter 2019 |
0.986 |
0.000e+00 |
0.283 |
0.383 |
2.541 |
NaN |
NaN |
forest |
winter 2019 |
0.986 |
0.000e+00 |
0.212 |
0.347 |
1.642 |
0.483 |
3.563 |
baseline |
all |
0.977 |
0.054 |
0.320 |
0.409 |
2.541 |
NaN |
NaN |
forest |
all |
0.981 |
0.072 |
0.262 |
0.371 |
2.285 |
0.487 |
4.212 |
Random forest plots
Extended logistic regression results
names |
period |
power |
significance |
meanSquareError |
absError |
maxError |
CRPS |
IGN |
baseline |
winter 2016 |
0.973 |
0.048 |
0.335 |
0.429 |
2.399 |
NaN |
NaN |
elr |
winter 2016 |
0.978 |
0.000e+00 |
0.304 |
0.421 |
2.232 |
0.562 |
5.482 |
baseline |
winter 2017 |
0.971 |
0.024 |
0.375 |
0.421 |
2.504 |
NaN |
NaN |
elr |
winter 2017 |
0.981 |
0.049 |
0.322 |
0.412 |
2.226 |
0.515 |
5.024 |
baseline |
winter 2018 |
0.979 |
0.118 |
0.291 |
0.398 |
2.100 |
NaN |
NaN |
elr |
winter 2018 |
0.979 |
0.176 |
0.256 |
0.364 |
2.074 |
0.543 |
4.979 |
baseline |
winter 2019 |
0.986 |
0.000e+00 |
0.283 |
0.383 |
2.541 |
NaN |
NaN |
elr |
winter 2019 |
0.993 |
0.000e+00 |
0.210 |
0.355 |
1.464 |
0.527 |
4.202 |
baseline |
all |
0.977 |
0.054 |
0.320 |
0.409 |
2.541 |
NaN |
NaN |
elr |
all |
0.983 |
0.072 |
0.274 |
0.389 |
2.232 |
0.539 |
4.957 |
Extended logistic regression plots