GMS location: 553

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.995	0.000e+00	0.340	0.441	1.893	NaN	NaN
forest	winter 2016	0.995	0.056	0.272	0.404	1.920	0.474	2.100
baseline	winter 2017	0.972	0.000e+00	0.405	0.472	2.151	NaN	NaN
forest	winter 2017	0.972	0.000e+00	0.294	0.407	1.807	0.463	1.907
baseline	winter 2018	0.980	0.111	0.387	0.451	3.783	NaN	NaN
forest	winter 2018	0.993	0.074	0.304	0.389	3.212	0.473	1.817
baseline	winter 2019	0.986	0.133	0.598	0.546	3.028	NaN	NaN
forest	winter 2019	0.993	0.200	0.569	0.542	3.038	0.478	3.224
baseline	all	0.985	0.058	0.425	0.474	3.783	NaN	NaN
forest	all	0.990	0.069	0.355	0.433	3.212	0.473	2.250

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.995	0.000e+00	0.340	0.441	1.893	NaN	NaN
elr	winter 2016	0.995	0.000e+00	0.337	0.462	1.629	0.567	3.172
baseline	winter 2017	0.972	0.000e+00	0.405	0.472	2.151	NaN	NaN
elr	winter 2017	0.972	0.000e+00	0.357	0.441	2.381	0.521	2.897
baseline	winter 2018	0.980	0.111	0.387	0.451	3.783	NaN	NaN
elr	winter 2018	0.993	0.074	0.325	0.404	3.307	0.522	2.646
baseline	winter 2019	0.986	0.133	0.598	0.546	3.028	NaN	NaN
elr	winter 2019	0.993	0.200	0.595	0.548	3.111	0.581	5.261
baseline	all	0.985	0.058	0.425	0.474	3.783	NaN	NaN
elr	all	0.990	0.058	0.398	0.463	3.307	0.549	3.467