GMS location: 956

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.987	0.000e+00	0.408	0.500	2.057	NaN	NaN
forest	winter 2016	0.987	0.040	0.311	0.422	1.869	0.439	2.853
baseline	winter 2017	1.000	0.000e+00	0.394	0.429	2.463	NaN	NaN
forest	winter 2017	1.000	0.024	0.286	0.365	2.171	0.433	2.203
baseline	winter 2018	0.986	0.030	0.602	0.495	5.183	NaN	NaN
forest	winter 2018	0.993	0.000e+00	0.483	0.448	4.691	0.441	2.401
baseline	winter 2019	0.993	0.000e+00	0.346	0.427	2.606	NaN	NaN
forest	winter 2019	0.993	0.000e+00	0.324	0.407	2.496	0.409	1.650
baseline	all	0.991	8.300e-03	0.442	0.465	5.183	NaN	NaN
forest	all	0.993	0.017	0.354	0.412	4.691	0.431	2.295

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.987	0.000e+00	0.408	0.500	2.057	NaN	NaN
elr	winter 2016	0.987	0.040	0.354	0.454	2.046	0.513	2.723
baseline	winter 2017	1.000	0.000e+00	0.394	0.429	2.463	NaN	NaN
elr	winter 2017	1.000	0.048	0.337	0.407	2.473	0.489	2.456
baseline	winter 2018	0.986	0.030	0.602	0.495	5.183	NaN	NaN
elr	winter 2018	0.993	0.000e+00	0.483	0.420	5.117	0.488	3.468
baseline	winter 2019	0.993	0.000e+00	0.346	0.427	2.606	NaN	NaN
elr	winter 2019	0.993	0.000e+00	0.334	0.426	2.675	0.469	2.144
baseline	all	0.991	8.300e-03	0.442	0.465	5.183	NaN	NaN
elr	all	0.993	0.025	0.380	0.427	5.117	0.490	2.722