Complete result settings for Jester 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 10 -9.876006 -9.960053 -10.003722 212.416086
1 2.000000 10 -9.875782 -9.960109 -10.003890 216.288930
1 0.500000 10 -9.876558 -9.960328 -10.003764 216.592364
1 0.100000 10 -9.886744 -9.966938 -10.007142 219.155879
1 2.000000 20 -9.875782 -9.960109 -10.003890 220.343116
1 1.000000 20 -9.876006 -9.960053 -10.003722 221.918074
1 0.100000 20 -9.886744 -9.966938 -10.007142 217.595984
1 0.100000 50 -9.886744 -9.966938 -10.007142 216.259595
1 1.000000 50 -9.876006 -9.960053 -10.003722 217.422808
1 0.500000 50 -9.876558 -9.960328 -10.003764 219.502200
1 2.000000 50 -9.875782 -9.960109 -10.003890 224.435713
1 0.500000 20 -9.876558 -9.960328 -10.003764 232.635856
2 0.500000 10 -9.625755 -10.147240 -10.197053 4443.140799
2 2.000000 10 -9.621708 -10.188245 -10.213042 4492.800127
2 0.100000 10 -9.655370 -10.135689 -10.136943 4498.649005
2 1.000000 10 -9.616428 -10.177030 -10.222156 4618.890121
2 0.100000 20 -9.649265 -10.125138 -10.144628 7606.725744
2 0.100000 50 -9.649265 -10.125138 -10.144628 7704.350370
3 2.000000 10 -9.388182 -10.474585 -10.454077 8093.866099
3 0.100000 10 -9.436489 -10.263081 -10.299789 8253.488726
3 0.500000 10 -9.368444 -10.406444 -10.417125 8287.657284
2 0.500000 20 -9.619770 -10.141448 -10.204778 8454.426256
2 2.000000 20 -9.613668 -10.194288 -10.208491 8463.190641
3 1.000000 10 -9.346607 -10.407371 -10.450980 8560.842871
2 1.000000 20 -9.608736 -10.186755 -10.222381 8703.779733
2 0.500000 50 -9.619147 -10.140485 -10.204462 10593.934127
4 0.100000 10 -9.205964 -10.425293 -10.440493 12810.569376
4 2.000000 10 -9.110586 -10.783971 -10.812399 12815.753434
4 0.500000 10 -9.097331 -10.759823 -10.687476 12869.055834
4 1.000000 10 -9.078594 -10.790404 -10.750896 13409.284979
3 0.500000 20 -9.369404 -10.376006 -10.418723 15485.826674
3 2.000000 20 -9.373984 -10.499788 -10.469746 15559.408823
3 0.100000 20 -9.415332 -10.225089 -10.285022 15638.370520
3 1.000000 20 -9.329082 -10.474579 -10.497945 16133.858500
2 2.000000 50 -9.601118 -10.196068 -10.204483 20495.484590
2 1.000000 50 -9.599115 -10.183171 -10.217615 20790.755741
4 0.100000 20 -9.188196 -10.422427 -10.454369 23740.614243
4 0.500000 20 -9.086158 -10.699287 -10.735691 24309.244713
4 2.000000 20 -9.089042 -10.723653 -10.832521 24835.045104
4 1.000000 20 -9.059341 -10.815924 -10.831911 25048.804766
3 0.500000 50 -9.327137 -10.461219 -10.483974 30589.904669
3 0.100000 50 -9.411993 -10.293118 -10.310071 30977.044136
3 2.000000 50 -9.327757 -10.450615 -10.484757 38022.056828
3 1.000000 50 -9.318311 -10.426200 -10.491917 38962.824309
4 2.000000 50 -9.052161 -10.847632 -10.878205 49305.451353
4 0.100000 50 -9.168155 -10.454839 -10.493733 53845.152961
4 0.500000 50 -9.039170 -10.706611 -10.787412 57220.715952
4 1.000000 50 -9.053498 -10.773124 -10.809643 60406.913257
2 0.050000 10 -9.703610 -10.093454 -10.113774 4285.528301
2 0.010000 10 -9.958735 -10.151791 -10.187586 5136.308009
3 0.050000 10 -9.500871 -10.177094 -10.211216 7963.653665
3 0.010000 10 -9.828108 -10.190525 -10.216902 11298.578550