GMS location: 355

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.990	0.000e+00	0.261	0.390	1.604	NaN	NaN
forest	winter 2016	0.995	0.000e+00	0.233	0.361	1.693	0.501	4.452
baseline	winter 2017	0.984	0.067	0.273	0.407	1.500	NaN	NaN
forest	winter 2017	0.992	0.067	0.249	0.385	1.504	0.499	4.468
baseline	winter 2018	0.994	0.095	0.308	0.425	1.744	NaN	NaN
forest	winter 2018	0.987	0.048	0.265	0.391	1.551	0.514	4.725
baseline	winter 2019	0.986	0.000e+00	0.258	0.372	1.975	NaN	NaN
forest	winter 2019	0.986	0.000e+00	0.208	0.339	1.617	0.505	4.030
baseline	all	0.989	0.051	0.275	0.398	1.975	NaN	NaN
forest	all	0.990	0.038	0.239	0.369	1.693	0.504	4.427

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.990	0.000e+00	0.261	0.390	1.604	NaN	NaN
elr	winter 2016	0.990	0.000e+00	0.253	0.393	1.583	0.575	7.583
baseline	winter 2017	0.984	0.067	0.273	0.407	1.500	NaN	NaN
elr	winter 2017	0.992	0.100	0.247	0.392	1.295	0.555	7.530
baseline	winter 2018	0.994	0.095	0.308	0.425	1.744	NaN	NaN
elr	winter 2018	0.994	0.095	0.275	0.404	1.524	0.553	7.472
baseline	winter 2019	0.986	0.000e+00	0.258	0.372	1.975	NaN	NaN
elr	winter 2019	0.986	0.000e+00	0.206	0.330	1.669	0.539	5.929
baseline	all	0.989	0.051	0.275	0.398	1.975	NaN	NaN
elr	all	0.990	0.064	0.246	0.381	1.669	0.557	7.164