GMS location: 374

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.995	0.000e+00	0.422	0.503	1.816	NaN	NaN
forest	winter 2016	1.000	0.050	0.309	0.422	1.783	0.414	2.997
baseline	winter 2017	0.952	0.069	0.529	0.553	2.472	NaN	NaN
forest	winter 2017	0.968	0.069	0.321	0.435	1.683	0.422	3.144
baseline	winter 2018	0.983	0.056	0.406	0.484	1.950	NaN	NaN
forest	winter 2018	0.983	0.056	0.322	0.439	1.846	0.424	2.962
baseline	winter 2019	0.993	0.056	0.349	0.449	1.889	NaN	NaN
forest	winter 2019	0.993	0.111	0.314	0.421	1.925	0.410	2.131
baseline	all	0.982	0.047	0.426	0.498	2.472	NaN	NaN
forest	all	0.988	0.071	0.316	0.428	1.925	0.417	2.815

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.995	0.000e+00	0.422	0.503	1.816	NaN	NaN
elr	winter 2016	1.000	0.050	0.349	0.451	2.409	0.500	3.229
baseline	winter 2017	0.952	0.069	0.529	0.553	2.472	NaN	NaN
elr	winter 2017	0.968	0.069	0.403	0.466	2.253	0.451	2.727
baseline	winter 2018	0.983	0.056	0.406	0.484	1.950	NaN	NaN
elr	winter 2018	0.983	0.056	0.338	0.432	2.061	0.478	2.738
baseline	winter 2019	0.993	0.056	0.349	0.449	1.889	NaN	NaN
elr	winter 2019	0.993	0.111	0.374	0.458	2.131	0.458	2.630
baseline	all	0.982	0.047	0.426	0.498	2.472	NaN	NaN
elr	all	0.988	0.071	0.365	0.452	2.409	0.474	2.862