GMS location: 566

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.995	0.000e+00	0.348	0.448	1.701	NaN	NaN
forest	winter 2016	0.995	0.000e+00	0.259	0.383	1.687	0.441	5.125
baseline	winter 2017	0.957	0.000e+00	0.383	0.447	2.441	NaN	NaN
forest	winter 2017	0.966	0.000e+00	0.246	0.365	1.640	0.456	4.669
baseline	winter 2018	0.987	0.042	0.268	0.405	1.433	NaN	NaN
forest	winter 2018	0.994	0.042	0.203	0.345	1.477	0.440	3.239
baseline	winter 2019	0.993	0.000e+00	0.274	0.392	1.486	NaN	NaN
forest	winter 2019	1.000	0.000e+00	0.232	0.366	1.221	0.440	3.731
baseline	all	0.985	0.016	0.316	0.423	2.441	NaN	NaN
forest	all	0.990	0.016	0.235	0.365	1.687	0.444	4.202

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.995	0.000e+00	0.348	0.448	1.701	NaN	NaN
elr	winter 2016	0.995	0.000e+00	0.276	0.411	1.645	0.490	5.185
baseline	winter 2017	0.957	0.000e+00	0.383	0.447	2.441	NaN	NaN
elr	winter 2017	0.957	0.000e+00	0.301	0.411	1.908	0.527	5.457
baseline	winter 2018	0.987	0.042	0.268	0.405	1.433	NaN	NaN
elr	winter 2018	0.994	0.042	0.230	0.381	1.458	0.496	4.152
baseline	winter 2019	0.993	0.000e+00	0.274	0.392	1.486	NaN	NaN
elr	winter 2019	1.000	0.000e+00	0.286	0.418	1.297	0.500	4.877
baseline	all	0.985	0.016	0.316	0.423	2.441	NaN	NaN
elr	all	0.989	0.016	0.271	0.405	1.908	0.501	4.891