Complete result settings for EachMovie 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 | 0.500000 | 20 | -5.619498 | -11.360446 | -10.632468 | 3345.654546 |
| 1 | 0.100000 | 20 | -7.454552 | -10.579145 | -9.996130 | 3373.521307 |
| 1 | 0.500000 | 10 | -5.619498 | -11.360446 | -10.632468 | 3413.274086 |
| 1 | 0.100000 | 10 | -7.454552 | -10.579145 | -9.996130 | 3484.092870 |
| 1 | 1.000000 | 10 | -5.082038 | -12.237164 | -11.447388 | 3491.938060 |
| 1 | 0.100000 | 50 | -7.454552 | -10.579145 | -9.996130 | 3523.807940 |
| 1 | 2.000000 | 10 | -4.736489 | -13.255254 | -12.379440 | 3625.757061 |
| 1 | 1.000000 | 20 | -5.082038 | -12.237164 | -11.447388 | 3687.552180 |
| 1 | 2.000000 | 20 | -4.736489 | -13.255254 | -12.379440 | 3693.646680 |
| 1 | 0.500000 | 50 | -5.619498 | -11.360446 | -10.632468 | 3698.936337 |
| 1 | 2.000000 | 50 | -4.736489 | -13.255254 | -12.379440 | 3817.511932 |
| 1 | 1.000000 | 50 | -5.082038 | -12.237164 | -11.447388 | 3868.904248 |
| 2 | 0.500000 | 20 | -4.183942 | -12.135443 | -11.095319 | 20071.624052 |
| 2 | 0.500000 | 10 | -4.183942 | -12.135443 | -11.095319 | 20126.540397 |
| 2 | 0.500000 | 50 | -4.183942 | -12.135443 | -11.095319 | 20397.721427 |
| 2 | 2.000000 | 20 | -3.185663 | -14.800953 | -13.743774 | 21188.959681 |
| 2 | 0.100000 | 10 | -6.229822 | -10.853591 | -10.267279 | 21674.350967 |
| 2 | 2.000000 | 10 | -3.185663 | -14.800953 | -13.743774 | 22025.071164 |
| 2 | 2.000000 | 50 | -3.185663 | -14.800953 | -13.743774 | 22181.276883 |
| 2 | 1.000000 | 20 | -3.696093 | -13.276088 | -12.345982 | 23157.460249 |
| 2 | 1.000000 | 10 | -3.696012 | -13.275367 | -12.344622 | 23371.156879 |
| 2 | 1.000000 | 50 | -3.696093 | -13.276088 | -12.345982 | 23386.027868 |
| 2 | 0.100000 | 20 | -6.210670 | -10.859652 | -10.273677 | 37678.926982 |
| 3 | 0.100000 | 10 | -5.492806 | -10.974856 | -10.357333 | 38462.037962 |
| 3 | 0.500000 | 10 | -3.442272 | -12.504846 | -11.581350 | 38713.570591 |
| 2 | 0.100000 | 50 | -6.210572 | -10.859785 | -10.272981 | 39415.574071 |
| 3 | 1.000000 | 10 | -2.925942 | -13.656615 | -12.686835 | 39751.983021 |
| 3 | 2.000000 | 10 | -2.455765 | -15.569473 | -14.097978 | 40405.136814 |
| 3 | 1.000000 | 20 | -2.907570 | -13.784932 | -12.636191 | 47938.443760 |
| 3 | 0.500000 | 50 | -3.447205 | -12.489053 | -11.588042 | 50281.766301 |
| 3 | 2.000000 | 20 | -2.446864 | -15.705516 | -14.327201 | 55434.729180 |
| 3 | 0.500000 | 20 | -3.437910 | -12.444482 | -11.572389 | 55753.294134 |
| 4 | 0.100000 | 10 | -4.970095 | -11.233780 | -10.481438 | 56739.181530 |
| 3 | 1.000000 | 50 | -2.920029 | -13.795741 | -12.663998 | 56965.942779 |
| 4 | 0.500000 | 10 | -3.004338 | -12.585585 | -11.734918 | 57769.116918 |
| 3 | 2.000000 | 50 | -2.446864 | -15.705516 | -14.327201 | 59638.870802 |
| 4 | 1.000000 | 10 | -2.489762 | -13.769001 | -12.668494 | 59605.807389 |
| 4 | 2.000000 | 10 | -2.105598 | -15.367753 | -14.009782 | 61517.581970 |
| 3 | 0.100000 | 20 | -5.434150 | -11.050171 | -10.387614 | 65571.495474 |
| 4 | 0.500000 | 20 | -3.015344 | -12.501343 | -11.651216 | 78175.438017 |
| 4 | 0.500000 | 50 | -3.019488 | -12.490767 | -11.746974 | 83107.884955 |
| 4 | 1.000000 | 20 | -2.496891 | -13.723393 | -12.772300 | 85592.105464 |
| 1 | 0.010000 | 10 | -12.816474 | -13.665794 | -13.238580 | 3426.471023 |
| 1 | 0.050000 | 10 | -8.672361 | -10.896912 | -10.342236 | 3570.494532 |
| 2 | 0.010000 | 10 | -11.550344 | -13.403747 | -13.014484 | 22094.689704 |
| 2 | 0.050000 | 10 | -7.399838 | -11.092785 | -10.504518 | 23155.316560 |