Table 4.

Average prediction error in synthetic balanced datasets.

Dataset	Agarwal				LED
Artificial	ERDDM	RDDM	EDDM	STEPD	ERDDM	RDDM	EDDM	STEPD
Abr-50k	0.3863	0.4552	1.39	0.4996	0.386	0.455	1.40	0.499
Abr-100k	0.3915	0.455	1.38	0.501	0.391	0.4554	1.38	0.506
Abr-500k	0.3909	0.456	1.378	0.4997	0.3909	0.456	1.37	0.49
Abr-1M	0.3901	0.456	1.381	0.499	0.3901	0.456	1.38	0.499
Abr-2M	0.391	0.455	1.386	0.4998	0.391	0.455	1.38	0.49
Abr-3M	0.391	0.456	1.385	0.50	0.391	0.456	1.38	0.51
Gr-50k	0.0089	0.0095	0.069	0.985	0.0089	0.0095	0.069	0.985
Gr-100k	0.0044	0.0047	0.034	0.992	0.0045	0.0047	0.034	0.992
Gr-500k	0.000089	0.000095	0.0069	0.9985	0.000089	0.000095	0.0069	0.9985
Gr-1M	0.000088	0.0000475	0.00345	0.9991	0.000088	0.0000475	0.0035	0.9991
Gr-2M	0.0000224	0.0000237	0.00172	0.9996	0.0000224	0.0000237	0.0017	0.9996
Gr-3M	0.0000149	0.0000158	0.00115	0.9999	0.0000149	0.0000158	0.0012	0.9999
Dataset	RandomTree				Mixed
Artificial	ERDDM	RDDM	EDDM	STEPD	ERDDM	RDDM	EDDM	STEPD
Abr-50k	0.386	0.455	1.39	0.4996	0.386	0.455	1.39	0.4996
Abr-100k	0.391	0.455	1.38	0.501	0.391	0.4554	1.38	0.501
Abr-500k	0.3909	0.456	1.378	0.4997	0.3909	0.456	1.378	0.499
Abr-1M	0.3901	0.456	1.381	0.499	0.3901	0.456	1.383	0.499
Abr-2M	0.391	0.455	1.386	0.4998	0.391	0.455	1.387	0.49
Abr-3M	0.391	0.456	1.385	0.50	0.391	0.456	1.389	0.51
Gr-50k	0.0089	0.0095	0.069	0.985	0.0089	0.0095	0.069	0.985
Gr-100k	0.0044	0.0047	0.034	0.992	0.0045	0.0047	0.034	0.992
Gr-500k	0.000089	0.000095	0.0069	0.9985	0.000089	0.000095	0.0069	0.9985
Gr-1M	0.000088	0.0000475	0.00345	0.9991	0.000088	0.0000475	0.0035	0.9991
Gr-2M	0.0000224	0.0000237	0.00172	0.9996	0.0000224	0.0000237	0.0017	0.9996
Gr-3M	0.0000149	0.0000158	0.00115	0.9999	0.0000149	0.0000158	0.0012	0.9999