GMS location: 357

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.990	0.000e+00	0.319	0.429	1.538	NaN	NaN
forest	winter 2016	0.990	0.000e+00	0.249	0.378	1.422	0.434	2.428
baseline	winter 2017	0.977	0.045	0.353	0.452	2.118	NaN	NaN
forest	winter 2017	0.992	0.045	0.248	0.380	1.460	0.459	2.732
baseline	winter 2018	0.993	0.000e+00	0.393	0.467	2.350	NaN	NaN
forest	winter 2018	1.000	0.000e+00	0.353	0.435	2.182	0.458	3.371
baseline	winter 2019	0.973	0.000e+00	0.259	0.376	1.831	NaN	NaN
forest	winter 2019	0.973	0.000e+00	0.211	0.350	1.329	0.458	2.721
baseline	all	0.985	0.016	0.335	0.434	2.350	NaN	NaN
forest	all	0.990	0.016	0.268	0.387	2.182	0.451	2.795

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.990	0.000e+00	0.319	0.429	1.538	NaN	NaN
elr	winter 2016	0.980	0.000e+00	0.254	0.391	1.619	0.519	4.656
baseline	winter 2017	0.977	0.045	0.353	0.452	2.118	NaN	NaN
elr	winter 2017	0.985	0.000e+00	0.279	0.399	1.683	0.504	4.086
baseline	winter 2018	0.993	0.000e+00	0.393	0.467	2.350	NaN	NaN
elr	winter 2018	0.993	0.000e+00	0.357	0.451	2.077	0.509	5.051
baseline	winter 2019	0.973	0.000e+00	0.259	0.376	1.831	NaN	NaN
elr	winter 2019	0.982	0.111	0.226	0.347	1.718	0.489	3.629
baseline	all	0.985	0.016	0.335	0.434	2.350	NaN	NaN
elr	all	0.985	0.016	0.281	0.400	2.077	0.507	4.427