GMS location: 363

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.989	0.091	0.368	0.451	2.026	NaN	NaN
forest	winter 2016	0.994	0.091	0.305	0.404	1.912	0.470	2.526
baseline	winter 2017	0.975	0.059	0.479	0.505	2.351	NaN	NaN
forest	winter 2017	0.983	0.059	0.359	0.444	1.849	0.477	3.323
baseline	winter 2018	0.991	0.094	0.384	0.425	3.639	NaN	NaN
forest	winter 2018	0.981	0.125	0.342	0.391	3.827	0.488	2.851
baseline	winter 2019	0.994	0.067	0.303	0.411	1.703	NaN	NaN
forest	winter 2019	0.994	0.067	0.262	0.391	1.654	0.464	2.202
baseline	all	0.987	0.078	0.380	0.448	3.639	NaN	NaN
forest	all	0.989	0.087	0.314	0.407	3.827	0.474	2.696

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.989	0.091	0.368	0.451	2.026	NaN	NaN
elr	winter 2016	0.989	0.091	0.327	0.439	2.149	0.536	3.924
baseline	winter 2017	0.975	0.059	0.479	0.505	2.351	NaN	NaN
elr	winter 2017	0.983	0.029	0.388	0.459	2.031	0.524	3.889
baseline	winter 2018	0.991	0.094	0.384	0.425	3.639	NaN	NaN
elr	winter 2018	0.962	0.125	0.321	0.401	2.741	0.550	4.267
baseline	winter 2019	0.994	0.067	0.303	0.411	1.703	NaN	NaN
elr	winter 2019	1.000	0.067	0.295	0.423	1.605	0.510	3.091
baseline	all	0.987	0.078	0.380	0.448	3.639	NaN	NaN
elr	all	0.986	0.078	0.331	0.432	2.741	0.529	3.774