Complete result settings for Ad dataset (table columns are sortable)
The experiments are described in Rooshenas and Lowd, Discriminative Structure Learning of Arithmetic Circuits, AIStats 16

Split Penalty	Standard Deviation	L1 Penalty	Initial Evidence	Train CLL	Validation CLL	Test CLL	Node#	Edge#	Feature#	Learning Time
5	0.1	2	1	-1.847027	-2.158759	-1.897055	15071	17158	4390	36765.449801
5	0.1	1	5	-1.563084	-1.890881	-1.600591	15646	17908	4654	40575.005660
5	0.1	1	10	-1.552150	-1.889289	-1.596729	16036	18459	4810	41714.231472
5	0.5	1	10	-1.474651	-1.810964	-1.543076	16000	18345	4826	42721.164395
2	0.1	2	5	-1.822788	-2.152379	-1.866344	16221	19104	4720	42786.488464
5	0.1	2	5	-1.927032	-2.246248	-1.952540	15623	17881	4642	45327.109231
5	0.5	2	1	-1.764956	-2.099559	-1.822139	14968	16910	4406	47369.160792
2	0.5	2	5	-1.654940	-2.012347	-1.747816	16282	19205	4726	49166.681527
2	0.1	1	10	-1.477718	-1.832136	-1.554508	16607	19651	4878	49883.368574
5	0.1	0.5	1	-2.048155	-2.560874	-2.176341	22510	34644	4468	51135.714189
5	0.5	2	5	-1.734328	-2.072679	-1.781463	15606	17807	4660	51222.747958
5	0.5	1	1	-1.472954	-1.801310	-1.545264	15017	16987	4422	51278.403497
2	0.5	2	10	-1.650858	-2.021698	-1.758162	16588	19571	4882	51998.115084
5	0.5	2	10	-1.731472	-2.080601	-1.788798	16006	18371	4820	52523.361235
5	0.1	0.5	10	-2.186317	-2.769701	-2.385510	24389	37702	4892	52795.924798
5	0.5	0.5	5	-1.324954	-1.709570	-1.423100	15689	17958	4684	53569.637176
5	0.5	0.5	10	-1.326379	-1.719233	-1.424190	16084	18511	4842	54480.974632
5	0.1	2	10	-inf	-inf	-inf	16005	18400	4802	55261.394990
5	0.5	0.5	1	-1.355868	-1.743504	-1.463119	15064	17060	4436	56327.247955
2	0.5	0.5	1	-1.221173	-1.654200	-1.370116	16420	20056	4552	56343.076550
2	0.1	1	1	-1.451833	-1.784614	-1.533968	15834	18715	4502	57322.956585
5	0.1	0.5	5	-2.066845	-2.560560	-2.198323	24008	37156	4692	57995.875286
5	0.1	1	1	-1.592013	-1.916116	-1.640948	15031	17064	4398	59834.948704
2	0.1	2	10	-inf	-inf	-inf	16557	19557	4874	61909.855271
2	0.5	2	1	-1.694971	-2.056602	-1.799019	15618	18304	4476	62391.128106
2	0.1	1	5	-1.464429	-1.809364	-1.550634	16165	18952	4732	63800.390865
2	0.1	2	1	-1.729004	-2.038653	-1.800792	15742	18628	4468	64560.413325
5	0.5	1	5	-1.473399	-1.847097	-1.544865	15659	17916	4672	64973.674499
2	0.5	1	10	-1.334868	-1.728314	-1.470571	17393	21487	4928	65263.264475
2	0.5	0.5	5	-1.182593	-1.611696	-1.331564	17758	22698	4798	66735.061727
2	0.1	0.5	10	-2.699309	-3.597686	-3.004566	16787	19577	5096	66969.564078
2	0.5	1	5	-1.328533	-1.726189	-1.453433	16428	19513	4772	68685.036286
2	0.5	0.5	10	-1.197657	-1.627897	-1.337021	17692	22179	4952	71050.668656
2	0.1	0.5	1	-2.097204	-2.733742	-2.316101	15829	18224	4716	76015.566876
2	0.5	1	1	-1.326881	-1.697416	-1.452449	16014	19118	4530	78896.846855