GMS location: 853

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.979	0.067	0.369	0.439	2.087	NaN	NaN
forest	winter 2016	0.995	0.000e+00	0.310	0.406	1.959	0.424	1.731
baseline	winter 2017	0.974	0.075	0.409	0.461	2.828	NaN	NaN
forest	winter 2017	0.982	0.125	0.342	0.436	2.174	0.425	1.756
baseline	winter 2018	0.961	0.094	0.708	0.580	5.298	NaN	NaN
forest	winter 2018	0.967	0.094	0.572	0.499	5.149	0.406	1.704
baseline	winter 2019	0.986	0.000e+00	0.445	0.475	2.466	NaN	NaN
forest	winter 2019	0.986	0.091	0.337	0.407	2.815	0.398	1.448
baseline	all	0.975	0.064	0.484	0.489	5.298	NaN	NaN
forest	all	0.983	0.092	0.392	0.437	5.149	0.414	1.664

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.979	0.067	0.369	0.439	2.087	NaN	NaN
elr	winter 2016	0.995	0.067	0.313	0.427	1.781	0.483	1.937
baseline	winter 2017	0.974	0.075	0.409	0.461	2.828	NaN	NaN
elr	winter 2017	0.974	0.100	0.337	0.431	2.201	0.511	2.309
baseline	winter 2018	0.961	0.094	0.708	0.580	5.298	NaN	NaN
elr	winter 2018	0.967	0.094	0.524	0.499	4.428	0.470	2.615
baseline	winter 2019	0.986	0.000e+00	0.445	0.475	2.466	NaN	NaN
elr	winter 2019	0.993	0.091	0.357	0.434	2.183	0.448	1.788
baseline	all	0.975	0.064	0.484	0.489	5.298	NaN	NaN
elr	all	0.983	0.092	0.384	0.448	4.428	0.478	2.162