Complete result settings for Pumsb-star 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
2 0.5 1 10 -7.171759 -7.282683 -7.351208 8795 15013 2584 61888.037587
5 0.5 1 10 -7.071718 -7.188621 -7.234274 10391 19642 2544 63214.382952
5 0.5 1 20 -6.777563 -6.885806 -6.946511 11734 19971 3866 63382.191442
2 0.5 1 20 -6.907060 -6.985115 -7.050804 11511 18941 3810 63602.549941
2 0.5 0.1 10 -7.413199 -7.529233 -7.581889 8831 15541 2516 63604.120703
5 0.5 0.1 10 -6.950581 -7.082014 -7.103751 10440 19757 2594 64028.988114
5 0.5 2 20 -6.716265 -6.828615 -6.896882 11279 18211 3840 64147.030168
5 0.5 2 10 -6.679354 -6.801127 -6.837477 10530 20239 2600 64273.623923
2 0.5 0.5 20 -6.978590 -7.068670 -7.123751 11670 19908 3742 64241.190854
2 0.5 2 20 -6.849917 -6.953408 -7.006374 11640 19126 3906 64326.008959
5 0.5 0.5 10 -6.682277 -6.812102 -6.848697 11014 21080 2594 64556.377938
5 0.5 0.5 30 -6.473928 -6.604347 -6.662785 14321 23597 5016 65130.203703
5 0.5 0.5 20 -6.783884 -6.889272 -6.955038 12026 21041 3806 65202.592699
2 0.5 0.5 10 -7.191169 -7.302929 -7.359215 8717 14864 2568 65500.392426
2 0.5 1 30 -6.633391 -6.757753 -6.817140 14031 22292 4980 66036.017999
2 0.5 0.5 30 -6.745733 -6.861096 -6.930061 14584 24961 4970 66189.527661
2 0.5 0.1 20 -7.131548 -7.221790 -7.272040 12215 21367 3762 66231.547273
2 0.5 2 30 -6.602694 -6.735704 -6.776076 14090 22525 4988 66407.122581
5 0.5 0.1 20 -6.769832 -6.896752 -6.950546 11944 20384 3856 66567.949133
5 0.5 0.1 30 -6.580210 -6.730944 -6.772132 13864 21418 5012 67183.529550
5 0.5 1 30 -6.476013 -6.613784 -6.651465 14161 23209 4998 67303.204356
5 0.5 2 40 -6.614079 -6.753551 -6.777710 15882 24563 5852 65268.730644
5 0.5 1 40 -6.597909 -6.739670 -6.769098 15916 24532 5870 65422.102327
2 0.5 2 10 -6.943971 -7.055610 -7.102576 10029 18342 2670 68037.592713
2 0.5 0.1 30 -6.609034 -6.753836 -6.806668 14716 24591 5074 68916.877041
2 0.5 2 40 -6.621125 -6.744277 -6.783846 16550 27396 5900 67122.587814
5 0.5 2 30 -6.381669 -6.516769 -6.573984 14160 22780 5034 69217.279373
2 0.5 1 40 -6.632094 -6.757531 -6.797352 16467 27099 5882 67414.373456
2 0.5 0.5 40 -6.612234 -6.755698 -6.781378 16132 25566 5872 67429.622138
5 0.5 0.1 40 -6.651623 -6.824388 -6.820939 15803 24122 5884 69458.116761
2 0.5 0.1 40 -6.672347 -6.819431 -6.829631 15987 24867 5894 69802.726371
5 0.5 0.5 40 -6.588385 -6.734318 -6.759250 16122 25578 5868 74342.448229