GMS location: 609

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.989	0.000e+00	0.347	0.453	1.632	NaN	NaN
forest	winter 2016	0.994	0.000e+00	0.257	0.395	1.619	0.452	2.992
baseline	winter 2017	0.975	0.062	0.468	0.486	2.859	NaN	NaN
forest	winter 2017	0.983	0.062	0.334	0.403	2.031	0.448	3.344
baseline	winter 2018	0.993	0.031	0.339	0.396	2.325	NaN	NaN
forest	winter 2018	0.993	0.062	0.261	0.363	1.962	0.449	2.928
baseline	winter 2019	0.993	0.250	0.303	0.391	1.996	NaN	NaN
forest	winter 2019	1.000	0.333	0.270	0.398	1.568	0.448	4.150
baseline	all	0.988	0.060	0.362	0.431	2.859	NaN	NaN
forest	all	0.993	0.080	0.278	0.389	2.031	0.450	3.309

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.989	0.000e+00	0.347	0.453	1.632	NaN	NaN
elr	winter 2016	0.989	0.000e+00	0.279	0.430	1.408	0.500	3.297
baseline	winter 2017	0.975	0.062	0.468	0.486	2.859	NaN	NaN
elr	winter 2017	0.983	0.094	0.374	0.442	2.450	0.490	3.703
baseline	winter 2018	0.993	0.031	0.339	0.396	2.325	NaN	NaN
elr	winter 2018	0.980	0.031	0.288	0.392	2.122	0.509	3.635
baseline	winter 2019	0.993	0.250	0.303	0.391	1.996	NaN	NaN
elr	winter 2019	1.000	0.250	0.312	0.449	1.533	0.509	3.698
baseline	all	0.988	0.060	0.362	0.431	2.859	NaN	NaN
elr	all	0.988	0.070	0.309	0.427	2.450	0.502	3.564