GMS location: 873

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.982	0.125	0.325	0.392	2.699	NaN	NaN
forest	winter 2016	0.976	0.125	0.305	0.375	2.430	0.503	3.553
baseline	winter 2017	0.991	0.000e+00	0.295	0.404	1.890	NaN	NaN
forest	winter 2017	0.991	0.000e+00	0.266	0.374	1.753	0.488	2.781
baseline	winter 2018	0.967	0.107	0.430	0.469	3.563	NaN	NaN
forest	winter 2018	0.967	0.107	0.372	0.428	3.632	0.496	2.985
baseline	winter 2019	0.986	0.048	0.453	0.464	3.935	NaN	NaN
forest	winter 2019	0.986	0.048	0.411	0.440	4.129	0.481	2.607
baseline	all	0.981	0.061	0.376	0.432	3.935	NaN	NaN
forest	all	0.979	0.061	0.339	0.404	4.129	0.493	3.006

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.982	0.125	0.325	0.392	2.699	NaN	NaN
elr	winter 2016	0.976	0.083	0.321	0.406	2.486	0.561	4.664
baseline	winter 2017	0.991	0.000e+00	0.295	0.404	1.890	NaN	NaN
elr	winter 2017	0.991	0.000e+00	0.251	0.368	1.515	0.549	3.561
baseline	winter 2018	0.967	0.107	0.430	0.469	3.563	NaN	NaN
elr	winter 2018	0.980	0.107	0.338	0.428	2.453	0.561	4.561
baseline	winter 2019	0.986	0.048	0.453	0.464	3.935	NaN	NaN
elr	winter 2019	0.986	0.048	0.401	0.446	3.652	0.548	4.470
baseline	all	0.981	0.061	0.376	0.432	3.935	NaN	NaN
elr	all	0.983	0.052	0.329	0.413	3.652	0.555	4.346