GMS location: 569

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.995	0.000e+00	0.323	0.454	1.601	NaN	NaN
forest	winter 2016	0.995	0.000e+00	0.310	0.444	1.888	0.551	4.226
baseline	winter 2017	0.960	0.071	0.367	0.437	2.742	NaN	NaN
forest	winter 2017	0.944	0.071	0.331	0.430	2.417	0.550	4.493
baseline	winter 2018	1.000	0.167	0.354	0.449	1.968	NaN	NaN
forest	winter 2018	1.000	0.167	0.276	0.396	1.855	0.557	3.444
baseline	winter 2019	0.983	0.111	0.321	0.401	2.503	NaN	NaN
forest	winter 2019	0.983	0.111	0.265	0.362	1.952	0.548	4.241
baseline	all	0.986	0.093	0.341	0.439	2.742	NaN	NaN
forest	all	0.983	0.093	0.297	0.412	2.417	0.552	4.086

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.995	0.000e+00	0.323	0.454	1.601	NaN	NaN
elr	winter 2016	0.995	0.000e+00	0.342	0.478	1.746	0.635	5.826
baseline	winter 2017	0.960	0.071	0.367	0.437	2.742	NaN	NaN
elr	winter 2017	0.944	0.071	0.403	0.480	2.923	0.623	6.646
baseline	winter 2018	1.000	0.167	0.354	0.449	1.968	NaN	NaN
elr	winter 2018	1.000	0.208	0.296	0.414	1.641	0.629	5.750
baseline	winter 2019	0.983	0.111	0.321	0.401	2.503	NaN	NaN
elr	winter 2019	0.983	0.111	0.300	0.395	2.179	0.591	4.882
baseline	all	0.986	0.093	0.341	0.439	2.742	NaN	NaN
elr	all	0.983	0.107	0.336	0.446	2.923	0.622	5.815