GMS location: 1432

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	1.000	0.100	0.430	0.475	2.502	NaN	NaN
forest	winter 2016	0.994	0.100	0.352	0.421	2.215	0.544	3.311
baseline	winter 2017	0.991	0.049	0.486	0.493	3.169	NaN	NaN
forest	winter 2017	0.982	0.024	0.416	0.454	2.330	0.542	3.612
baseline	winter 2018	0.947	0.094	0.439	0.482	2.274	NaN	NaN
forest	winter 2018	0.939	0.031	0.380	0.467	2.044	0.559	3.526
baseline	winter 2019	0.993	0.000e+00	0.305	0.409	1.717	NaN	NaN
forest	winter 2019	0.993	0.000e+00	0.270	0.394	1.488	0.562	3.353
baseline	all	0.985	0.070	0.415	0.465	3.169	NaN	NaN
forest	all	0.980	0.043	0.353	0.432	2.330	0.551	3.438

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	1.000	0.100	0.430	0.475	2.502	NaN	NaN
elr	winter 2016	1.000	0.167	0.375	0.469	2.084	0.625	3.813
baseline	winter 2017	0.991	0.049	0.486	0.493	3.169	NaN	NaN
elr	winter 2017	0.991	0.000e+00	0.449	0.482	2.437	0.564	3.677
baseline	winter 2018	0.947	0.094	0.439	0.482	2.274	NaN	NaN
elr	winter 2018	0.947	0.031	0.437	0.510	1.911	0.630	4.391
baseline	winter 2019	0.993	0.000e+00	0.305	0.409	1.717	NaN	NaN
elr	winter 2019	0.993	0.000e+00	0.267	0.415	1.458	0.618	3.628
baseline	all	0.985	0.070	0.415	0.465	3.169	NaN	NaN
elr	all	0.985	0.052	0.380	0.468	2.437	0.610	3.866