GMS location: 834

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	1.000	0.000e+00	0.386	0.433	2.519	NaN	NaN
forest	winter 2016	1.000	0.000e+00	0.343	0.409	2.385	0.480	4.391
baseline	winter 2017	0.991	0.026	0.390	0.425	2.309	NaN	NaN
forest	winter 2017	0.991	0.053	0.332	0.412	2.079	0.474	3.460
baseline	winter 2018	0.971	0.083	0.367	0.415	2.304	NaN	NaN
forest	winter 2018	0.971	0.083	0.328	0.423	1.908	0.468	2.619
baseline	winter 2019	0.985	0.000e+00	0.327	0.393	2.898	NaN	NaN
forest	winter 2019	0.992	0.000e+00	0.249	0.362	1.962	0.470	2.482
baseline	all	0.987	0.031	0.368	0.417	2.898	NaN	NaN
forest	all	0.989	0.041	0.315	0.402	2.385	0.473	3.271

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	1.000	0.000e+00	0.386	0.433	2.519	NaN	NaN
elr	winter 2016	1.000	0.000e+00	0.373	0.451	2.523	0.560	4.155
baseline	winter 2017	0.991	0.026	0.390	0.425	2.309	NaN	NaN
elr	winter 2017	0.983	0.053	0.322	0.422	1.810	0.557	3.948
baseline	winter 2018	0.971	0.083	0.367	0.415	2.304	NaN	NaN
elr	winter 2018	0.979	0.083	0.346	0.431	1.887	0.540	3.440
baseline	winter 2019	0.985	0.000e+00	0.327	0.393	2.898	NaN	NaN
elr	winter 2019	0.992	0.045	0.291	0.400	2.183	0.492	2.626
baseline	all	0.987	0.031	0.368	0.417	2.898	NaN	NaN
elr	all	0.989	0.051	0.335	0.427	2.523	0.538	3.564