GMS location: 353

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.995	0.048	0.328	0.434	1.920	NaN	NaN
forest	winter 2016	0.995	0.048	0.291	0.402	1.990	0.468	3.185
baseline	winter 2017	0.975	0.031	0.307	0.423	1.863	NaN	NaN
forest	winter 2017	0.984	0.031	0.256	0.376	2.063	0.451	3.764
baseline	winter 2018	1.000	0.000e+00	0.354	0.407	3.397	NaN	NaN
forest	winter 2018	1.000	0.000e+00	0.326	0.372	3.575	0.501	4.637
baseline	winter 2019	0.993	0.059	0.305	0.407	1.680	NaN	NaN
forest	winter 2019	0.993	0.059	0.280	0.386	1.536	0.467	3.346
baseline	all	0.991	0.032	0.324	0.419	3.397	NaN	NaN
forest	all	0.993	0.032	0.288	0.385	3.575	0.471	3.678

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.995	0.048	0.328	0.434	1.920	NaN	NaN
elr	winter 2016	0.995	0.048	0.307	0.414	1.993	0.547	4.499
baseline	winter 2017	0.975	0.031	0.307	0.423	1.863	NaN	NaN
elr	winter 2017	0.975	0.000e+00	0.281	0.398	1.891	0.511	3.394
baseline	winter 2018	1.000	0.000e+00	0.354	0.407	3.397	NaN	NaN
elr	winter 2018	1.000	0.000e+00	0.357	0.389	3.826	0.554	4.601
baseline	winter 2019	0.993	0.059	0.305	0.407	1.680	NaN	NaN
elr	winter 2019	0.993	0.059	0.342	0.425	1.815	0.514	3.721
baseline	all	0.991	0.032	0.324	0.419	3.397	NaN	NaN
elr	all	0.991	0.021	0.321	0.408	3.826	0.533	4.082