GMS location: 358

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.973	0.000e+00	0.432	0.517	1.630	NaN	NaN
forest	winter 2016	0.995	0.067	0.307	0.419	1.903	0.414	2.882
baseline	winter 2017	0.951	0.000e+00	0.365	0.473	1.853	NaN	NaN
forest	winter 2017	0.959	0.000e+00	0.248	0.383	1.431	0.442	3.197
baseline	winter 2018	0.980	0.107	0.366	0.464	1.897	NaN	NaN
forest	winter 2018	0.987	0.107	0.292	0.415	1.678	0.430	2.626
baseline	winter 2019	0.993	0.000e+00	0.336	0.433	1.953	NaN	NaN
forest	winter 2019	0.993	0.000e+00	0.230	0.359	1.950	0.413	2.359
baseline	all	0.975	0.036	0.378	0.474	1.953	NaN	NaN
forest	all	0.985	0.048	0.273	0.396	1.950	0.424	2.765

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.973	0.000e+00	0.432	0.517	1.630	NaN	NaN
elr	winter 2016	0.984	0.000e+00	0.328	0.451	1.723	0.476	4.140
baseline	winter 2017	0.951	0.000e+00	0.365	0.473	1.853	NaN	NaN
elr	winter 2017	0.951	0.000e+00	0.277	0.408	1.506	0.499	3.778
baseline	winter 2018	0.980	0.107	0.366	0.464	1.897	NaN	NaN
elr	winter 2018	0.980	0.071	0.308	0.424	1.931	0.489	4.133
baseline	winter 2019	0.993	0.000e+00	0.336	0.433	1.953	NaN	NaN
elr	winter 2019	0.993	0.091	0.270	0.382	2.309	0.463	3.413
baseline	all	0.975	0.036	0.378	0.474	1.953	NaN	NaN
elr	all	0.979	0.036	0.298	0.419	2.309	0.481	3.892