GMS location: 375

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	1.000	0.071	0.295	0.429	1.513	NaN	NaN
forest	winter 2016	1.000	0.143	0.245	0.394	1.532	0.447	3.807
baseline	winter 2017	0.985	0.000e+00	0.363	0.424	2.484	NaN	NaN
forest	winter 2017	0.977	0.000e+00	0.248	0.352	2.038	0.452	3.768
baseline	winter 2018	0.977	0.059	0.317	0.449	1.797	NaN	NaN
forest	winter 2018	0.985	0.118	0.227	0.365	1.698	0.455	3.476
baseline	winter 2019	0.993	0.000e+00	0.382	0.436	2.645	NaN	NaN
forest	winter 2019	0.993	0.182	0.273	0.373	2.734	0.459	3.672
baseline	all	0.990	0.031	0.337	0.434	2.645	NaN	NaN
forest	all	0.990	0.094	0.248	0.372	2.734	0.453	3.690

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	1.000	0.071	0.295	0.429	1.513	NaN	NaN
elr	winter 2016	1.000	0.214	0.276	0.419	1.450	0.492	3.955
baseline	winter 2017	0.985	0.000e+00	0.363	0.424	2.484	NaN	NaN
elr	winter 2017	0.977	0.000e+00	0.282	0.396	1.980	0.522	5.514
baseline	winter 2018	0.977	0.059	0.317	0.449	1.797	NaN	NaN
elr	winter 2018	0.985	0.059	0.248	0.383	1.779	0.511	4.291
baseline	winter 2019	0.993	0.000e+00	0.382	0.436	2.645	NaN	NaN
elr	winter 2019	0.993	0.091	0.328	0.424	3.022	0.536	6.409
baseline	all	0.990	0.031	0.337	0.434	2.645	NaN	NaN
elr	all	0.990	0.078	0.283	0.406	3.022	0.514	4.975