GMS location: 112

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.994	0.000e+00	0.296	0.405	1.788	NaN	NaN
forest	winter 2016	1.000	0.000e+00	0.224	0.351	1.616	0.435	5.511
baseline	winter 2017	0.982	0.053	0.394	0.446	2.379	NaN	NaN
forest	winter 2017	0.982	0.053	0.269	0.372	2.142	0.444	6.088
baseline	winter 2018	0.971	0.083	0.357	0.446	2.267	NaN	NaN
forest	winter 2018	0.964	0.083	0.249	0.350	2.282	0.428	5.419
baseline	winter 2019	0.987	0.000e+00	0.377	0.466	2.046	NaN	NaN
forest	winter 2019	0.987	0.000e+00	0.226	0.356	1.455	0.423	5.493
baseline	all	0.984	0.044	0.352	0.439	2.379	NaN	NaN
forest	all	0.984	0.044	0.241	0.357	2.282	0.432	5.607

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.994	0.000e+00	0.296	0.405	1.788	NaN	NaN
elr	winter 2016	0.988	0.000e+00	0.260	0.393	1.567	0.496	4.717
baseline	winter 2017	0.982	0.053	0.394	0.446	2.379	NaN	NaN
elr	winter 2017	0.982	0.079	0.324	0.410	2.146	0.483	4.704
baseline	winter 2018	0.971	0.083	0.357	0.446	2.267	NaN	NaN
elr	winter 2018	0.971	0.083	0.310	0.409	2.304	0.498	5.054
baseline	winter 2019	0.987	0.000e+00	0.377	0.466	2.046	NaN	NaN
elr	winter 2019	1.000	0.000e+00	0.242	0.368	1.600	0.477	3.801
baseline	all	0.984	0.044	0.352	0.439	2.379	NaN	NaN
elr	all	0.986	0.053	0.282	0.395	2.304	0.489	4.579