GMS location: 910

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.984	0.000e+00	0.312	0.423	1.783	NaN	NaN
forest	winter 2016	0.989	0.071	0.190	0.329	1.305	0.440	3.883
baseline	winter 2017	0.952	0.071	0.376	0.456	2.712	NaN	NaN
forest	winter 2017	0.984	0.071	0.227	0.354	1.771	0.440	4.461
baseline	winter 2018	0.987	0.069	0.384	0.476	2.198	NaN	NaN
forest	winter 2018	0.987	0.103	0.302	0.414	2.167	0.445	3.630
baseline	winter 2019	0.972	0.000e+00	0.368	0.445	2.151	NaN	NaN
forest	winter 2019	0.972	0.000e+00	0.225	0.360	1.487	0.432	3.521
baseline	all	0.975	0.049	0.358	0.449	2.712	NaN	NaN
forest	all	0.984	0.073	0.236	0.364	2.167	0.439	3.862

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.984	0.000e+00	0.312	0.423	1.783	NaN	NaN
elr	winter 2016	0.989	0.000e+00	0.236	0.389	1.359	0.521	4.649
baseline	winter 2017	0.952	0.071	0.376	0.456	2.712	NaN	NaN
elr	winter 2017	0.968	0.036	0.237	0.372	1.864	0.503	4.764
baseline	winter 2018	0.987	0.069	0.384	0.476	2.198	NaN	NaN
elr	winter 2018	0.994	0.103	0.319	0.423	2.258	0.503	5.351
baseline	winter 2019	0.972	0.000e+00	0.368	0.445	2.151	NaN	NaN
elr	winter 2019	0.986	0.000e+00	0.260	0.393	1.351	0.481	4.531
baseline	all	0.975	0.049	0.358	0.449	2.712	NaN	NaN
elr	all	0.985	0.049	0.264	0.395	2.258	0.503	4.834