GMS location: 373

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	1.000	0.045	0.402	0.478	2.043	NaN	NaN
forest	winter 2016	1.000	0.091	0.369	0.458	2.224	0.470	2.901
baseline	winter 2017	0.984	0.037	0.462	0.512	2.269	NaN	NaN
forest	winter 2017	0.984	0.037	0.345	0.444	1.985	0.458	2.375
baseline	winter 2018	0.987	0.059	0.347	0.438	2.300	NaN	NaN
forest	winter 2018	0.994	0.059	0.281	0.389	2.193	0.481	2.223
baseline	winter 2019	1.000	0.083	0.547	0.552	2.605	NaN	NaN
forest	winter 2019	1.000	0.083	0.468	0.500	2.236	0.462	2.544
baseline	all	0.993	0.051	0.435	0.492	2.605	NaN	NaN
forest	all	0.995	0.064	0.364	0.447	2.236	0.468	2.533

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	1.000	0.045	0.402	0.478	2.043	NaN	NaN
elr	winter 2016	1.000	0.091	0.429	0.500	2.042	0.535	2.534
baseline	winter 2017	0.984	0.037	0.462	0.512	2.269	NaN	NaN
elr	winter 2017	0.968	0.037	0.366	0.460	1.666	0.504	2.591
baseline	winter 2018	0.987	0.059	0.347	0.438	2.300	NaN	NaN
elr	winter 2018	0.987	0.118	0.294	0.405	2.023	0.518	2.414
baseline	winter 2019	1.000	0.083	0.547	0.552	2.605	NaN	NaN
elr	winter 2019	1.000	0.250	0.551	0.546	2.400	0.486	2.421
baseline	all	0.993	0.051	0.435	0.492	2.605	NaN	NaN
elr	all	0.990	0.103	0.409	0.478	2.400	0.513	2.491