GMS location: 210

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.989	0.000e+00	0.313	0.427	1.740	NaN	NaN
forest	winter 2016	0.989	0.000e+00	0.264	0.390	1.414	0.496	5.173
baseline	winter 2017	0.941	0.057	0.439	0.491	2.250	NaN	NaN
forest	winter 2017	0.949	0.086	0.376	0.453	2.330	0.484	5.206
baseline	winter 2018	0.993	0.138	0.305	0.420	1.638	NaN	NaN
forest	winter 2018	0.987	0.138	0.253	0.384	1.550	0.500	3.417
baseline	winter 2019	0.983	0.000e+00	0.286	0.401	1.767	NaN	NaN
forest	winter 2019	0.983	0.000e+00	0.206	0.335	1.360	0.481	3.415
baseline	all	0.979	0.062	0.335	0.435	2.250	NaN	NaN
forest	all	0.979	0.073	0.276	0.392	2.330	0.491	4.358

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.989	0.000e+00	0.313	0.427	1.740	NaN	NaN
elr	winter 2016	0.989	0.000e+00	0.283	0.415	1.434	0.563	6.002
baseline	winter 2017	0.941	0.057	0.439	0.491	2.250	NaN	NaN
elr	winter 2017	0.983	0.057	0.360	0.454	2.147	0.536	6.265
baseline	winter 2018	0.993	0.138	0.305	0.420	1.638	NaN	NaN
elr	winter 2018	0.980	0.103	0.269	0.400	1.986	0.567	5.491
baseline	winter 2019	0.983	0.000e+00	0.286	0.401	1.767	NaN	NaN
elr	winter 2019	0.983	0.000e+00	0.194	0.332	1.732	0.542	4.671
baseline	all	0.979	0.062	0.335	0.435	2.250	NaN	NaN
elr	all	0.984	0.052	0.280	0.403	2.147	0.554	5.661