GMS location: 963

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.985	0.083	0.362	0.449	2.152	NaN	NaN
forest	winter 2016	0.995	0.083	0.313	0.414	2.082	0.419	5.361
baseline	winter 2017	0.984	0.103	0.391	0.424	3.032	NaN	NaN
forest	winter 2017	0.984	0.103	0.290	0.394	2.224	0.436	5.042
baseline	winter 2018	0.962	0.080	0.389	0.449	2.375	NaN	NaN
forest	winter 2018	0.977	0.080	0.259	0.364	1.936	0.408	2.427
baseline	winter 2019	0.985	0.000e+00	0.413	0.476	2.516	NaN	NaN
forest	winter 2019	0.993	0.000e+00	0.269	0.366	1.694	0.411	3.140
baseline	all	0.980	0.079	0.387	0.449	3.032	NaN	NaN
forest	all	0.988	0.079	0.285	0.387	2.224	0.418	4.105

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.985	0.083	0.362	0.449	2.152	NaN	NaN
elr	winter 2016	0.990	0.000e+00	0.315	0.419	2.350	0.502	3.815
baseline	winter 2017	0.984	0.103	0.391	0.424	3.032	NaN	NaN
elr	winter 2017	0.984	0.103	0.343	0.423	2.549	0.488	3.628
baseline	winter 2018	0.962	0.080	0.389	0.449	2.375	NaN	NaN
elr	winter 2018	0.977	0.080	0.325	0.443	1.849	0.481	3.333
baseline	winter 2019	0.985	0.000e+00	0.413	0.476	2.516	NaN	NaN
elr	winter 2019	0.985	0.000e+00	0.217	0.349	1.564	0.475	2.827
baseline	all	0.980	0.079	0.387	0.449	3.032	NaN	NaN
elr	all	0.985	0.066	0.302	0.410	2.549	0.488	3.439