GMS location: 509

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.994	0.105	0.407	0.460	3.154	NaN	NaN
forest	winter 2016	0.994	0.105	0.370	0.437	3.031	0.468	1.957
baseline	winter 2017	0.956	0.000e+00	0.811	0.606	3.994	NaN	NaN
forest	winter 2017	0.965	0.000e+00	0.730	0.558	4.114	0.441	1.878
baseline	winter 2018	0.986	0.062	0.633	0.547	3.005	NaN	NaN
forest	winter 2018	0.979	0.062	0.659	0.545	2.936	0.498	3.229
baseline	winter 2019	0.993	0.000e+00	0.217	0.360	1.700	NaN	NaN
forest	winter 2019	0.993	0.000e+00	0.249	0.372	1.598	0.460	1.887
baseline	all	0.984	0.039	0.518	0.495	3.994	NaN	NaN
forest	all	0.984	0.039	0.502	0.479	4.114	0.468	2.255

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.994	0.105	0.407	0.460	3.154	NaN	NaN
elr	winter 2016	0.988	0.053	0.397	0.463	2.986	0.539	2.022
baseline	winter 2017	0.956	0.000e+00	0.811	0.606	3.994	NaN	NaN
elr	winter 2017	0.965	0.000e+00	0.796	0.570	4.139	0.480	2.072
baseline	winter 2018	0.986	0.062	0.633	0.547	3.005	NaN	NaN
elr	winter 2018	0.979	0.125	0.673	0.558	3.030	0.538	2.512
baseline	winter 2019	0.993	0.000e+00	0.217	0.360	1.700	NaN	NaN
elr	winter 2019	0.993	0.000e+00	0.206	0.348	1.262	0.487	1.560
baseline	all	0.984	0.039	0.518	0.495	3.994	NaN	NaN
elr	all	0.982	0.049	0.520	0.487	4.139	0.514	2.061