GMS location: 479

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	1.000	0.033	0.285	0.412	1.781	NaN	NaN
forest	winter 2016	0.994	0.033	0.257	0.387	1.654	0.632	1.868
baseline	winter 2017	0.991	0.000e+00	4.867	0.785	1.348e+01	NaN	NaN
forest	winter 2017	0.991	0.023	4.754	0.725	1.338e+01	0.459	4.531
baseline	winter 2018	0.982	0.000e+00	0.327	0.404	2.914	NaN	NaN
forest	winter 2018	0.991	0.074	0.408	0.453	2.855	0.746	2.056
baseline	winter 2019	0.992	0.000e+00	0.295	0.386	1.915	NaN	NaN
forest	winter 2019	1.000	0.000e+00	0.232	0.338	1.653	0.633	2.009
baseline	all	0.992	8.800e-03	1.436	0.498	1.348e+01	NaN	NaN
forest	all	0.994	0.035	1.403	0.475	1.338e+01	0.615	2.604

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	1.000	0.033	0.285	0.412	1.781	NaN	NaN
elr	winter 2016	0.987	0.067	0.318	0.435	2.051	0.525	2.318
baseline	winter 2017	0.991	0.000e+00	4.867	0.785	1.348e+01	NaN	NaN
elr	winter 2017	0.991	0.023	4.819	0.753	1.352e+01	0.531	7.243
baseline	winter 2018	0.982	0.000e+00	0.327	0.404	2.914	NaN	NaN
elr	winter 2018	0.991	0.074	0.396	0.445	3.547	0.511	2.261
baseline	winter 2019	0.992	0.000e+00	0.295	0.386	1.915	NaN	NaN
elr	winter 2019	1.000	0.083	0.221	0.345	1.609	0.446	1.319
baseline	all	0.992	8.800e-03	1.436	0.498	1.348e+01	NaN	NaN
elr	all	0.992	0.053	1.434	0.496	1.352e+01	0.506	3.310