GMS location: 356

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.983	0.062	0.328	0.434	1.817	NaN	NaN
forest	winter 2016	1.000	0.062	0.279	0.402	1.630	0.437	2.911
baseline	winter 2017	0.950	0.062	0.315	0.408	2.511	NaN	NaN
forest	winter 2017	0.967	0.062	0.263	0.376	1.841	0.446	3.105
baseline	winter 2018	0.987	0.083	0.358	0.451	2.199	NaN	NaN
forest	winter 2018	0.987	0.083	0.337	0.436	1.922	0.449	3.229
baseline	winter 2019	0.987	0.077	0.275	0.378	2.124	NaN	NaN
forest	winter 2019	0.994	0.077	0.242	0.363	1.938	0.450	3.009
baseline	all	0.979	0.071	0.320	0.419	2.511	NaN	NaN
forest	all	0.989	0.071	0.281	0.396	1.938	0.445	3.059

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.983	0.062	0.328	0.434	1.817	NaN	NaN
elr	winter 2016	0.989	0.062	0.285	0.420	1.630	0.493	3.671
baseline	winter 2017	0.950	0.062	0.315	0.408	2.511	NaN	NaN
elr	winter 2017	0.967	0.062	0.291	0.399	2.239	0.492	4.076
baseline	winter 2018	0.987	0.083	0.358	0.451	2.199	NaN	NaN
elr	winter 2018	0.987	0.083	0.342	0.455	1.760	0.494	4.160
baseline	winter 2019	0.987	0.077	0.275	0.378	2.124	NaN	NaN
elr	winter 2019	0.987	0.077	0.226	0.354	1.683	0.483	3.208
baseline	all	0.979	0.071	0.320	0.419	2.511	NaN	NaN
elr	all	0.984	0.071	0.287	0.408	2.239	0.491	3.774