GMS location: 965

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.970	0.222	0.390	0.458	3.160	NaN	NaN
forest	winter 2016	0.988	0.167	0.312	0.399	3.097	0.455	6.725
baseline	winter 2017	0.975	0.094	0.327	0.386	2.865	NaN	NaN
forest	winter 2017	0.983	0.156	0.215	0.316	1.961	0.442	4.386
baseline	winter 2018	0.985	0.000e+00	0.309	0.388	2.176	NaN	NaN
forest	winter 2018	0.985	0.000e+00	0.240	0.345	1.938	0.442	3.348
baseline	winter 2019	0.971	0.000e+00	0.301	0.404	2.425	NaN	NaN
forest	winter 2019	0.993	0.000e+00	0.164	0.309	1.458	0.447	3.660
baseline	all	0.975	0.078	0.335	0.411	3.160	NaN	NaN
forest	all	0.988	0.089	0.237	0.345	3.097	0.447	4.633

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.970	0.222	0.390	0.458	3.160	NaN	NaN
elr	winter 2016	0.988	0.167	0.324	0.410	3.418	0.534	7.580
baseline	winter 2017	0.975	0.094	0.327	0.386	2.865	NaN	NaN
elr	winter 2017	0.975	0.156	0.248	0.353	2.127	0.523	6.452
baseline	winter 2018	0.985	0.000e+00	0.309	0.388	2.176	NaN	NaN
elr	winter 2018	1.000	0.000e+00	0.230	0.341	2.073	0.508	6.349
baseline	winter 2019	0.971	0.000e+00	0.301	0.404	2.425	NaN	NaN
elr	winter 2019	0.986	0.000e+00	0.201	0.343	1.555	0.527	5.314
baseline	all	0.975	0.078	0.335	0.411	3.160	NaN	NaN
elr	all	0.988	0.089	0.254	0.364	3.418	0.524	6.486