GMS location: 104

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.988	0.065	0.322	0.424	1.800	NaN	NaN
forest	winter 2016	0.988	0.032	0.243	0.359	1.966	0.443	4.121
baseline	winter 2017	0.973	0.075	0.582	0.532	3.474	NaN	NaN
forest	winter 2017	0.982	0.050	0.381	0.421	3.246	0.451	6.226
baseline	winter 2018	0.986	0.091	0.360	0.446	2.112	NaN	NaN
forest	winter 2018	0.993	0.091	0.290	0.407	1.958	0.444	4.408
baseline	winter 2019	0.993	0.000e+00	0.316	0.394	1.804	NaN	NaN
forest	winter 2019	0.993	0.000e+00	0.212	0.340	1.389	0.447	4.071
baseline	all	0.986	0.068	0.388	0.447	3.474	NaN	NaN
forest	all	0.989	0.051	0.279	0.381	3.246	0.446	4.650

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.988	0.065	0.322	0.424	1.800	NaN	NaN
elr	winter 2016	0.988	0.032	0.283	0.407	1.900	0.505	3.483
baseline	winter 2017	0.973	0.075	0.582	0.532	3.474	NaN	NaN
elr	winter 2017	0.964	0.075	0.424	0.467	2.539	0.513	4.639
baseline	winter 2018	0.986	0.091	0.360	0.446	2.112	NaN	NaN
elr	winter 2018	0.980	0.091	0.329	0.441	2.325	0.512	3.936
baseline	winter 2019	0.993	0.000e+00	0.316	0.394	1.804	NaN	NaN
elr	winter 2019	0.993	0.000e+00	0.248	0.398	1.569	0.516	3.835
baseline	all	0.986	0.068	0.388	0.447	3.474	NaN	NaN
elr	all	0.982	0.060	0.318	0.427	2.539	0.511	3.937