GMS location: 1005

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	1.000	0.133	0.308	0.424	1.660	NaN	NaN
forest	winter 2016	1.000	0.067	0.274	0.403	1.790	0.558	5.933
baseline	winter 2017	0.990	0.143	0.483	0.468	3.585	NaN	NaN
forest	winter 2017	0.970	0.143	0.399	0.432	3.221	0.579	5.975
baseline	winter 2018	0.994	0.120	0.280	0.401	1.720	NaN	NaN
forest	winter 2018	0.975	0.120	0.227	0.342	1.790	0.563	3.546
baseline	winter 2019	0.987	0.000e+00	0.222	0.327	1.770	NaN	NaN
forest	winter 2019	0.974	0.000e+00	0.239	0.354	1.798	0.612	4.432
baseline	all	0.993	0.116	0.312	0.402	3.585	NaN	NaN
forest	all	0.982	0.101	0.276	0.380	3.221	0.576	4.930

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	1.000	0.133	0.308	0.424	1.660	NaN	NaN
elr	winter 2016	1.000	0.067	0.289	0.420	1.794	0.636	6.506
baseline	winter 2017	0.990	0.143	0.483	0.468	3.585	NaN	NaN
elr	winter 2017	0.960	0.143	0.430	0.476	3.123	0.673	9.299
baseline	winter 2018	0.994	0.120	0.280	0.401	1.720	NaN	NaN
elr	winter 2018	0.981	0.080	0.243	0.373	1.709	0.618	5.609
baseline	winter 2019	0.987	0.000e+00	0.222	0.327	1.770	NaN	NaN
elr	winter 2019	0.980	0.000e+00	0.234	0.351	1.809	0.639	5.311
baseline	all	0.993	0.116	0.312	0.402	3.585	NaN	NaN
elr	all	0.983	0.087	0.289	0.401	3.123	0.638	6.484