GMS location: 113

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.988	0.036	0.325	0.419	1.949	NaN	NaN
forest	winter 2016	0.977	0.000e+00	0.271	0.371	2.151	0.504	3.589
baseline	winter 2017	0.974	0.125	0.495	0.466	2.896	NaN	NaN
forest	winter 2017	0.982	0.100	0.385	0.421	2.330	0.504	3.916
baseline	winter 2018	0.973	0.062	0.399	0.442	2.724	NaN	NaN
forest	winter 2018	0.960	0.031	0.313	0.381	2.593	0.499	3.626
baseline	winter 2019	0.987	0.077	0.340	0.433	1.885	NaN	NaN
forest	winter 2019	0.993	0.000e+00	0.245	0.376	1.315	0.491	3.572
baseline	all	0.981	0.080	0.385	0.438	2.896	NaN	NaN
forest	all	0.978	0.044	0.301	0.386	2.593	0.499	3.666

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.988	0.036	0.325	0.419	1.949	NaN	NaN
elr	winter 2016	0.988	0.000e+00	0.301	0.423	2.016	0.595	4.625
baseline	winter 2017	0.974	0.125	0.495	0.466	2.896	NaN	NaN
elr	winter 2017	0.982	0.100	0.393	0.440	2.314	0.530	4.277
baseline	winter 2018	0.973	0.062	0.399	0.442	2.724	NaN	NaN
elr	winter 2018	0.973	0.031	0.346	0.399	2.872	0.564	4.299
baseline	winter 2019	0.987	0.077	0.340	0.433	1.885	NaN	NaN
elr	winter 2019	1.000	0.077	0.290	0.429	1.425	0.540	3.793
baseline	all	0.981	0.080	0.385	0.438	2.896	NaN	NaN
elr	all	0.986	0.053	0.331	0.422	2.872	0.560	4.271