Complete result settings for Netflix 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 | 2.000000 | 10 | -10.294134 | -10.467059 | -10.479450 | 357.092001 |
| 1 | 0.500000 | 10 | -10.294644 | -10.462738 | -10.477544 | 374.250924 |
| 1 | 0.500000 | 20 | -10.294644 | -10.462738 | -10.477544 | 388.269629 |
| 1 | 0.100000 | 20 | -10.301579 | -10.460818 | -10.476183 | 379.698898 |
| 1 | 1.000000 | 10 | -10.294240 | -10.466121 | -10.478710 | 393.783264 |
| 1 | 1.000000 | 20 | -10.294240 | -10.466121 | -10.478710 | 396.319855 |
| 1 | 0.100000 | 50 | -10.301579 | -10.460818 | -10.476183 | 380.614658 |
| 1 | 2.000000 | 50 | -10.294134 | -10.467059 | -10.479450 | 389.424042 |
| 1 | 0.100000 | 10 | -10.301579 | -10.460818 | -10.476183 | 386.987941 |
| 1 | 2.000000 | 20 | -10.294134 | -10.467059 | -10.479450 | 395.818667 |
| 1 | 1.000000 | 50 | -10.294240 | -10.466121 | -10.478710 | 424.223351 |
| 1 | 0.500000 | 50 | -10.294644 | -10.462738 | -10.477544 | 426.473045 |
| 2 | 2.000000 | 10 | -10.179906 | -10.572210 | -10.565720 | 7060.446809 |
| 2 | 1.000000 | 10 | -10.184134 | -10.564602 | -10.550689 | 7079.257393 |
| 2 | 0.500000 | 10 | -10.179662 | -10.565694 | -10.553503 | 7160.582610 |
| 2 | 0.100000 | 10 | -10.182250 | -10.531780 | -10.560915 | 7265.265110 |
| 3 | 0.500000 | 10 | -10.053881 | -10.672760 | -10.662526 | 12899.793941 |
| 3 | 2.000000 | 10 | -10.049750 | -10.690373 | -10.709394 | 12971.367019 |
| 3 | 0.100000 | 10 | -10.064379 | -10.608336 | -10.618833 | 13052.359938 |
| 3 | 1.000000 | 10 | -10.060114 | -10.699775 | -10.710377 | 13103.674603 |
| 2 | 0.500000 | 20 | -10.175224 | -10.564618 | -10.563113 | 13210.119252 |
| 2 | 1.000000 | 20 | -10.178973 | -10.566691 | -10.560585 | 13350.106617 |
| 2 | 0.100000 | 20 | -10.177536 | -10.536378 | -10.561151 | 13345.084230 |
| 2 | 2.000000 | 20 | -10.174528 | -10.578370 | -10.567775 | 13544.339512 |
| 2 | 0.100000 | 50 | -10.176987 | -10.534980 | -10.560066 | 16013.803554 |
| 4 | 1.000000 | 10 | -9.926991 | -10.846145 | -10.830292 | 19757.193209 |
| 4 | 0.500000 | 10 | -9.913664 | -10.791387 | -10.792460 | 19816.038040 |
| 4 | 2.000000 | 10 | -9.922444 | -10.826966 | -10.839728 | 19978.444044 |
| 4 | 0.100000 | 10 | -9.930236 | -10.725300 | -10.746458 | 20045.235065 |
| 3 | 1.000000 | 20 | -10.049665 | -10.714519 | -10.722747 | 24104.004518 |
| 3 | 0.500000 | 20 | -10.044932 | -10.684216 | -10.681010 | 24137.493140 |
| 3 | 2.000000 | 20 | -10.036783 | -10.701488 | -10.721082 | 24649.107908 |
| 3 | 0.100000 | 20 | -10.043822 | -10.649012 | -10.653679 | 24751.665095 |
| 2 | 2.000000 | 50 | -10.171808 | -10.570739 | -10.568095 | 26158.626201 |
| 2 | 1.000000 | 50 | -10.174679 | -10.570105 | -10.566696 | 28436.922164 |
| 2 | 0.500000 | 50 | -10.171667 | -10.562632 | -10.570566 | 29462.500715 |
| 4 | 1.000000 | 20 | -9.913143 | -10.886670 | -10.873789 | 36494.869007 |
| 4 | 0.500000 | 20 | -9.891602 | -10.807454 | -10.818273 | 37091.403026 |
| 4 | 2.000000 | 20 | -9.901758 | -10.869387 | -10.873495 | 37579.926171 |
| 4 | 0.100000 | 20 | -9.904856 | -10.736508 | -10.739235 | 38294.272089 |
| 3 | 0.500000 | 50 | -10.035613 | -10.700302 | -10.688254 | 47046.554344 |
| 3 | 0.100000 | 50 | -10.045899 | -10.606266 | -10.665110 | 54309.647753 |
| 3 | 1.000000 | 50 | -10.037667 | -10.714893 | -10.729318 | 57867.199977 |
| 3 | 2.000000 | 50 | -10.025347 | -10.699373 | -10.718801 | 58311.718212 |
| 4 | 1.000000 | 50 | -9.902085 | -10.897101 | -10.897082 | 83922.031753 |
| 2 | 0.050000 | 10 | -10.199729 | -10.520087 | -10.549286 | 7021.836066 |
| 2 | 0.010000 | 10 | -10.345180 | -10.563120 | -10.577223 | 7550.679836 |
| 3 | 0.050000 | 10 | -10.078594 | -10.602303 | -10.618342 | 13531.297403 |
| 3 | 0.010000 | 10 | -10.269463 | -10.581478 | -10.596320 | 15694.622726 |