GMS location: 955

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.988	0.111	0.365	0.445	2.102	NaN	NaN
forest	winter 2016	0.994	0.167	0.296	0.396	2.116	0.449	4.073
baseline	winter 2017	0.966	0.077	0.441	0.471	2.610	NaN	NaN
forest	winter 2017	0.975	0.115	0.322	0.411	1.957	0.455	3.933
baseline	winter 2018	0.973	0.080	0.378	0.439	2.282	NaN	NaN
forest	winter 2018	0.980	0.080	0.287	0.383	2.107	0.448	3.297
baseline	winter 2019	1.000	0.083	0.321	0.429	1.711	NaN	NaN
forest	winter 2019	1.000	0.083	0.259	0.397	1.282	0.453	3.039
baseline	all	0.982	0.086	0.376	0.446	2.610	NaN	NaN
forest	all	0.988	0.111	0.291	0.396	2.116	0.451	3.606

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.988	0.111	0.365	0.445	2.102	NaN	NaN
elr	winter 2016	0.988	0.167	0.313	0.419	2.135	0.536	4.374
baseline	winter 2017	0.966	0.077	0.441	0.471	2.610	NaN	NaN
elr	winter 2017	0.983	0.038	0.318	0.400	1.886	0.527	4.620
baseline	winter 2018	0.973	0.080	0.378	0.439	2.282	NaN	NaN
elr	winter 2018	0.980	0.080	0.286	0.392	2.286	0.529	4.132
baseline	winter 2019	1.000	0.083	0.321	0.429	1.711	NaN	NaN
elr	winter 2019	0.992	0.000e+00	0.257	0.391	1.483	0.519	4.037
baseline	all	0.982	0.086	0.376	0.446	2.610	NaN	NaN
elr	all	0.986	0.074	0.295	0.401	2.286	0.528	4.291