GMS location: 380

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.995	0.000e+00	0.528	0.558	2.087	NaN	NaN
forest	winter 2016	0.995	0.000e+00	0.372	0.470	2.338	0.439	1.776
baseline	winter 2017	0.938	0.000e+00	0.583	0.550	2.940	NaN	NaN
forest	winter 2017	0.977	0.000e+00	0.295	0.396	2.212	0.422	1.795
baseline	winter 2018	0.986	0.000e+00	0.370	0.434	2.927	NaN	NaN
forest	winter 2018	1.000	0.125	0.456	0.455	3.040	0.486	1.599
baseline	winter 2019	0.986	0.154	1.418	0.749	5.930	NaN	NaN
forest	winter 2019	0.986	0.154	1.628	0.767	6.455	0.404	2.346
baseline	all	0.979	0.027	0.710	0.571	5.930	NaN	NaN
forest	all	0.990	0.067	0.668	0.519	6.455	0.439	1.870

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.995	0.000e+00	0.528	0.558	2.087	NaN	NaN
elr	winter 2016	0.995	0.000e+00	0.431	0.524	1.861	0.488	1.397
baseline	winter 2017	0.938	0.000e+00	0.583	0.550	2.940	NaN	NaN
elr	winter 2017	0.985	0.000e+00	0.348	0.418	2.259	0.391	1.048
baseline	winter 2018	0.986	0.000e+00	0.370	0.434	2.927	NaN	NaN
elr	winter 2018	1.000	0.125	0.311	0.440	2.308	0.447	1.239
baseline	winter 2019	0.986	0.154	1.418	0.749	5.930	NaN	NaN
elr	winter 2019	1.000	0.231	1.858	0.811	6.683	0.506	3.747
baseline	all	0.979	0.027	0.710	0.571	5.930	NaN	NaN
elr	all	0.995	0.080	0.716	0.547	6.683	0.461	1.829