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

Tree#	C	Max. EM Iteration	Train CLL	Validation CLL	Test CLL	Learning Time
1	1.000000	20	-31.117201	-37.549559	-37.245389	719.496787
1	0.050000	20	-34.915784	-38.575435	-38.388494	707.806876
1	0.010000	20	-40.915838	-42.707511	-42.533570	738.841059
1	0.100000	20	-33.176443	-37.790175	-37.513771	737.805212
1	2.000000	20	-31.118584	-37.555774	-37.281131	775.117781
1	0.500000	20	-31.179509	-37.425100	-37.151101	846.414807
2	2.000000	10	-25.362032	-42.984992	-42.671278	2325.629917
2	0.500000	10	-26.501512	-39.485511	-38.833241	2681.993439
2	1.000000	10	-25.727430	-41.161141	-40.461249	2791.053960
2	0.100000	10	-30.042216	-38.011553	-37.547358	4670.988489
3	2.000000	10	-19.871536	-52.173177	-51.043131	4683.474536
3	0.500000	10	-22.379616	-40.991866	-40.450611	5023.846896
3	0.100000	10	-27.574980	-38.271793	-37.623002	5457.078362
3	1.000000	10	-20.828822	-45.384212	-44.789906	5980.137521
4	0.500000	10	-18.676303	-43.964759	-43.056169	7782.248334
4	2.000000	10	-14.613783	-66.123334	-65.312582	8285.376843
4	1.000000	10	-16.398067	-51.594657	-50.961756	9423.220331
4	0.100000	10	-25.416929	-38.744320	-37.960689	9734.059209