Complete result settings for BBC 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	-43.613362	-45.391162	-46.863957	12591	16354	3306	30427.545309
5	0.1	2	5	-43.337609	-45.178374	-46.632000	12181	15106	3498	36047.982873
5	0.1	2	10	-43.325586	-45.126427	-46.566280	13210	17430	3590	35404.150750
5	0.1	1	5	-42.920536	-45.176286	-46.589305	12924	16429	3632	42538.037234
5	0.1	1	10	-42.913637	-45.195309	-46.579653	13695	18243	3720	43472.962104
5	0.1	0.5	5	-42.716469	-45.264313	-46.658597	13878	18609	3712	45519.967912
5	0.1	0.5	1	-42.873822	-45.381666	-46.728681	15274	22218	3544	47684.702823
5	0.1	1	1	-43.138950	-45.395852	-46.763700	12622	16171	3450	48188.141288
5	0.1	0.5	10	-42.683205	-45.266669	-46.640616	15486	22522	3804	49666.877486
5	0.5	2	5	-42.202814	-45.136644	-46.551202	15544	22325	3892	57685.869414
5	0.5	2	1	-42.342661	-45.193611	-46.588715	15035	21205	3714	59460.204674
5	0.5	2	10	-42.142604	-45.191013	-46.495401	15168	21020	3988	66938.147854
5	0.5	1	1	-42.079224	-45.314748	-46.678629	12389	14594	3866	71115.977728
2	0.5	0.5	1	-43.154581	-45.918872	-47.200138	12524	14760	3932	65763.980354
5	0.5	0.5	1	-42.245857	-45.422431	-46.869082	12284	14424	3836	65853.397761
5	0.5	1	5	-41.867500	-45.238341	-46.555690	12819	15177	4048	71486.994324
5	0.5	0.5	5	-41.969975	-45.233392	-46.623936	12804	15152	4044	65884.729998
5	0.5	0.5	10	-41.916134	-45.325499	-46.699996	13049	15495	4142	65873.788661
2	0.5	0.5	5	-42.707862	-45.683291	-46.856027	13064	15516	4148	65910.169130
2	0.5	0.5	10	-42.635003	-45.551279	-46.775088	13229	15747	4214	65926.871591
2	0.1	0.5	1	-42.824498	-45.475627	-47.071036	12394	14578	3880	66217.719375
2	0.1	0.5	5	-42.371742	-45.270238	-46.786574	13004	15432	4124	66351.582025
2	0.5	2	10	-42.494720	-45.288786	-46.634786	13029	15467	4134	69015.288080
2	0.5	2	1	-42.735000	-45.456661	-46.903866	12469	14683	3910	69255.682535
2	0.1	2	10	-42.489277	-45.177229	-46.486207	12869	15243	4070	69813.779691
2	0.5	1	1	-42.997322	-45.796270	-47.150933	12524	14760	3932	70266.991793
2	0.1	2	5	-42.481973	-45.218541	-46.513660	12704	15012	4004	70292.116973
2	0.5	2	5	-42.379376	-45.205091	-46.609987	12999	15425	4122	70549.978772
2	0.1	2	1	-42.490834	-45.087174	-46.597625	12487	14719	3914	71354.697436
2	0.1	1	1	-42.879150	-45.456936	-46.963703	12244	14368	3820	71381.796317
5	0.5	1	10	-41.923411	-45.299770	-46.561961	12964	15380	4106	71517.151740
2	0.5	1	5	-42.635689	-45.577885	-46.757807	12944	15348	4100	71560.887091
2	0.1	0.5	10	-42.310296	-45.310985	-46.730095	13224	15740	4212	71601.435927
2	0.5	1	10	-42.504930	-45.503450	-46.683001	13254	15782	4224	71771.266108
2	0.1	1	10	-42.383575	-45.244443	-46.603008	13089	15551	4158	71808.817400
2	0.1	1	5	-42.414923	-45.360114	-46.657104	12884	15264	4076	71854.955385
5	0.1	2	20	-43.311018	-45.084381	-46.553916	13362	17614	3666	optimization.
5	0.1	1	20	-42.880637	-45.161193	-46.508853	14985	21125	3802
5	0.1	0.5	20	-42.660718	-45.240145	-46.616881	14378	19525	3892
5	0.5	0.5	20	-42.019130	-45.259009	-46.639226	13121	15601	4170
5	0.5	1	20	-41.913653	-45.230671	-46.536274	13177	15720	4178
5	0.5	2	20	-42.114361	-45.188955	-46.485931	15429	21467	4076
5	0.5	0.5	10	-39.339979	-45.011044	-45.956593	20359	25729	7066	66517.176852
5	0.5	0.5	20	-37.453832	-45.079067	-46.355902	30548	40195	11094	67980.648369
5	0.5	2	20	-38.111139	-43.874657	-45.008690	30274	39610	11032	68066.501318