GMS location: 723

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.983	0.000e+00	0.302	0.411	1.924	NaN	NaN
forest	winter 2016	0.989	0.000e+00	0.293	0.411	1.804	0.448	3.107
baseline	winter 2017	0.983	0.000e+00	0.296	0.402	1.839	NaN	NaN
forest	winter 2017	0.983	0.029	0.239	0.369	1.505	0.436	4.122
baseline	winter 2018	0.993	0.118	0.418	0.476	2.882	NaN	NaN
forest	winter 2018	0.993	0.088	0.344	0.424	2.834	0.443	3.608
baseline	winter 2019	0.980	0.000e+00	0.335	0.426	2.250	NaN	NaN
forest	winter 2019	0.980	0.000e+00	0.263	0.388	1.808	0.445	2.833
baseline	all	0.985	0.040	0.339	0.430	2.882	NaN	NaN
forest	all	0.987	0.040	0.288	0.400	2.834	0.443	3.399

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.983	0.000e+00	0.302	0.411	1.924	NaN	NaN
elr	winter 2016	0.983	0.000e+00	0.309	0.424	1.753	0.503	3.609
baseline	winter 2017	0.983	0.000e+00	0.296	0.402	1.839	NaN	NaN
elr	winter 2017	0.966	0.029	0.270	0.389	1.656	0.477	3.046
baseline	winter 2018	0.993	0.118	0.418	0.476	2.882	NaN	NaN
elr	winter 2018	0.993	0.118	0.406	0.453	3.312	0.490	3.857
baseline	winter 2019	0.980	0.000e+00	0.335	0.426	2.250	NaN	NaN
elr	winter 2019	0.980	0.000e+00	0.314	0.433	1.988	0.467	2.856
baseline	all	0.985	0.040	0.339	0.430	2.882	NaN	NaN
elr	all	0.982	0.050	0.327	0.426	3.312	0.485	3.377