GMS location: 835

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.994	0.050	0.327	0.387	2.722	NaN	NaN
forest	winter 2016	0.988	0.150	0.300	0.368	2.739	0.472	4.419
baseline	winter 2017	0.991	0.051	0.270	0.359	2.357	NaN	NaN
forest	winter 2017	1.000	0.077	0.246	0.361	2.021	0.467	3.522
baseline	winter 2018	0.979	0.143	0.382	0.417	3.089	NaN	NaN
forest	winter 2018	0.972	0.143	0.364	0.409	2.989	0.470	4.088
baseline	winter 2019	0.984	0.000e+00	0.283	0.374	2.354	NaN	NaN
forest	winter 2019	0.984	0.000e+00	0.254	0.362	1.728	0.459	3.011
baseline	all	0.987	0.064	0.318	0.385	3.089	NaN	NaN
forest	all	0.985	0.096	0.294	0.376	2.989	0.468	3.817

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.994	0.050	0.327	0.387	2.722	NaN	NaN
elr	winter 2016	0.988	0.000e+00	0.327	0.403	2.717	0.537	5.032
baseline	winter 2017	0.991	0.051	0.270	0.359	2.357	NaN	NaN
elr	winter 2017	0.983	0.077	0.257	0.372	2.168	0.514	3.967
baseline	winter 2018	0.979	0.143	0.382	0.417	3.089	NaN	NaN
elr	winter 2018	0.965	0.143	0.345	0.408	2.751	0.512	4.459
baseline	winter 2019	0.984	0.000e+00	0.283	0.374	2.354	NaN	NaN
elr	winter 2019	0.984	0.000e+00	0.290	0.382	1.712	0.511	3.654
baseline	all	0.987	0.064	0.318	0.385	3.089	NaN	NaN
elr	all	0.980	0.064	0.307	0.392	2.751	0.520	4.335