GMS location: 382

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.966	0.130	0.368	0.459	1.734	NaN	NaN
forest	winter 2016	0.973	0.217	0.335	0.439	1.576	0.456	1.983
baseline	winter 2017	0.973	0.071	0.463	0.504	3.080	NaN	NaN
forest	winter 2017	0.964	0.048	0.386	0.467	2.530	0.472	2.188
baseline	winter 2018	1.000	0.128	0.490	0.507	2.599	NaN	NaN
forest	winter 2018	0.993	0.051	0.470	0.484	2.793	0.456	1.822
baseline	winter 2019	1.000	0.091	0.515	0.497	2.805	NaN	NaN
forest	winter 2019	1.000	0.091	0.433	0.450	2.806	0.443	1.835
baseline	all	0.985	0.103	0.459	0.492	3.080	NaN	NaN
forest	all	0.983	0.087	0.407	0.460	2.806	0.457	1.950

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.966	0.130	0.368	0.459	1.734	NaN	NaN
elr	winter 2016	0.973	0.217	0.337	0.456	1.706	0.513	2.303
baseline	winter 2017	0.973	0.071	0.463	0.504	3.080	NaN	NaN
elr	winter 2017	0.973	0.024	0.402	0.486	2.445	0.561	2.812
baseline	winter 2018	1.000	0.128	0.490	0.507	2.599	NaN	NaN
elr	winter 2018	0.993	0.051	0.453	0.490	2.819	0.517	2.611
baseline	winter 2019	1.000	0.091	0.515	0.497	2.805	NaN	NaN
elr	winter 2019	1.000	0.091	0.443	0.457	3.003	0.488	2.297
baseline	all	0.985	0.103	0.459	0.492	3.080	NaN	NaN
elr	all	0.985	0.079	0.409	0.472	3.003	0.519	2.501