GMS location: 478

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.976	0.048	0.392	0.459	2.366	NaN	NaN
forest	winter 2016	0.970	0.000e+00	0.330	0.416	2.139	0.553	3.377
baseline	winter 2017	0.982	0.024	0.395	0.454	2.597	NaN	NaN
forest	winter 2017	0.991	0.049	0.358	0.430	2.295	0.525	2.840
baseline	winter 2018	0.993	0.212	0.511	0.520	2.165	NaN	NaN
forest	winter 2018	0.978	0.121	0.447	0.479	2.247	0.544	2.956
baseline	winter 2019	0.993	0.062	0.325	0.422	2.072	NaN	NaN
forest	winter 2019	0.986	0.062	0.248	0.365	1.467	0.551	2.521
baseline	all	0.986	0.090	0.407	0.464	2.597	NaN	NaN
forest	all	0.980	0.063	0.346	0.423	2.295	0.544	2.945

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.976	0.048	0.392	0.459	2.366	NaN	NaN
elr	winter 2016	0.970	0.000e+00	0.373	0.457	2.039	0.658	4.225
baseline	winter 2017	0.982	0.024	0.395	0.454	2.597	NaN	NaN
elr	winter 2017	0.982	0.024	0.361	0.468	2.076	0.580	3.861
baseline	winter 2018	0.993	0.212	0.511	0.520	2.165	NaN	NaN
elr	winter 2018	0.985	0.151	0.438	0.500	2.066	0.644	4.751
baseline	winter 2019	0.993	0.062	0.325	0.422	2.072	NaN	NaN
elr	winter 2019	0.993	0.062	0.280	0.424	1.379	0.606	3.728
baseline	all	0.986	0.090	0.407	0.464	2.597	NaN	NaN
elr	all	0.982	0.063	0.364	0.462	2.076	0.625	4.156