GMS location: 556

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	1.000	0.000e+00	0.333	0.445	1.602	NaN	NaN
forest	winter 2016	1.000	0.000e+00	0.294	0.412	1.459	0.521	3.741
baseline	winter 2017	0.976	0.035	0.370	0.452	1.933	NaN	NaN
forest	winter 2017	0.984	0.035	0.300	0.405	1.589	0.503	3.620
baseline	winter 2018	0.981	0.115	0.323	0.417	2.202	NaN	NaN
forest	winter 2018	0.987	0.115	0.265	0.372	1.833	0.494	3.169
baseline	winter 2019	0.992	0.000e+00	0.314	0.414	1.880	NaN	NaN
forest	winter 2019	0.992	0.000e+00	0.252	0.371	1.373	0.515	3.311
baseline	all	0.988	0.050	0.335	0.433	2.202	NaN	NaN
forest	all	0.992	0.050	0.279	0.392	1.833	0.509	3.474

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	1.000	0.000e+00	0.333	0.445	1.602	NaN	NaN
elr	winter 2016	1.000	0.000e+00	0.294	0.432	1.405	0.600	5.614
baseline	winter 2017	0.976	0.035	0.370	0.452	1.933	NaN	NaN
elr	winter 2017	0.976	0.035	0.356	0.475	1.730	0.574	5.626
baseline	winter 2018	0.981	0.115	0.323	0.417	2.202	NaN	NaN
elr	winter 2018	0.987	0.115	0.295	0.414	1.809	0.571	4.752
baseline	winter 2019	0.992	0.000e+00	0.314	0.414	1.880	NaN	NaN
elr	winter 2019	0.992	0.000e+00	0.277	0.393	1.509	0.540	4.343
baseline	all	0.988	0.050	0.335	0.433	2.202	NaN	NaN
elr	all	0.990	0.050	0.305	0.429	1.809	0.574	5.129