GMS location: 532

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.989	0.000e+00	0.338	0.434	2.045	NaN	NaN
forest	winter 2016	0.989	0.000e+00	0.291	0.418	1.627	0.618	3.935
baseline	winter 2017	0.985	0.037	0.447	0.473	2.142	NaN	NaN
forest	winter 2017	1.000	0.037	0.348	0.411	1.776	0.583	4.687
baseline	winter 2018	0.978	0.229	0.411	0.464	2.599	NaN	NaN
forest	winter 2018	0.957	0.200	0.385	0.459	2.467	0.602	4.933
baseline	winter 2019	0.993	0.091	0.303	0.419	1.991	NaN	NaN
forest	winter 2019	0.993	0.091	0.241	0.371	1.643	0.607	3.736
baseline	all	0.987	0.106	0.365	0.444	2.599	NaN	NaN
forest	all	0.983	0.096	0.313	0.416	2.467	0.606	4.272

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.989	0.000e+00	0.338	0.434	2.045	NaN	NaN
elr	winter 2016	0.994	0.048	0.305	0.435	1.746	0.675	7.489
baseline	winter 2017	0.985	0.037	0.447	0.473	2.142	NaN	NaN
elr	winter 2017	1.000	0.000e+00	0.359	0.426	1.777	0.661	8.359
baseline	winter 2018	0.978	0.229	0.411	0.464	2.599	NaN	NaN
elr	winter 2018	0.957	0.143	0.409	0.482	2.464	0.708	9.273
baseline	winter 2019	0.993	0.091	0.303	0.419	1.991	NaN	NaN
elr	winter 2019	1.000	0.000e+00	0.269	0.390	2.086	0.682	7.403
baseline	all	0.987	0.106	0.365	0.444	2.599	NaN	NaN
elr	all	0.987	0.064	0.333	0.435	2.464	0.684	8.090