GMS location: 475

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.975	0.167	0.814	0.680	3.332	NaN	NaN
forest	winter 2016	0.981	0.133	0.475	0.512	2.630	0.421	2.875
baseline	winter 2017	0.936	0.000e+00	0.872	0.680	3.267	NaN	NaN
forest	winter 2017	0.963	0.000e+00	0.395	0.474	2.140	0.421	1.721
baseline	winter 2018	0.977	0.103	0.554	0.562	2.063	NaN	NaN
forest	winter 2018	0.992	0.128	0.425	0.483	2.553	0.422	1.812
baseline	winter 2019	0.969	0.056	0.722	0.596	3.205	NaN	NaN
forest	winter 2019	0.992	0.111	0.384	0.463	1.882	0.421	1.664
baseline	all	0.966	0.080	0.739	0.630	3.332	NaN	NaN
forest	all	0.983	0.088	0.424	0.485	2.630	0.421	2.068

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.975	0.167	0.814	0.680	3.332	NaN	NaN
elr	winter 2016	0.975	0.133	0.555	0.561	2.927	0.467	1.801
baseline	winter 2017	0.936	0.000e+00	0.872	0.680	3.267	NaN	NaN
elr	winter 2017	0.963	0.026	0.476	0.509	2.167	0.424	1.441
baseline	winter 2018	0.977	0.103	0.554	0.562	2.063	NaN	NaN
elr	winter 2018	0.985	0.154	0.460	0.502	2.528	0.486	1.783
baseline	winter 2019	0.969	0.056	0.722	0.596	3.205	NaN	NaN
elr	winter 2019	0.992	0.167	0.410	0.481	2.410	0.462	1.583
baseline	all	0.966	0.080	0.739	0.630	3.332	NaN	NaN
elr	all	0.979	0.112	0.480	0.516	2.927	0.461	1.667