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

Split Penalty Standard Deviation L1 Penalty Initial Evidence Train CLL Validation CLL Test CLL Node# Edge# Feature# Learning Time
5 0.1 2 10 -8.992012 -10.258003 -9.638147 10613 17101 2588 56846.963947
5 0.1 0.5 5 -8.857817 -10.285616 -9.607072 14478 26937 2554 59133.883282
5 0.1 2 5 -9.004475 -10.363926 -9.639284 13173 23453 2398 60979.445714
5 0.1 1 5 -8.911723 -10.264289 -9.595517 13048 23635 2482 62250.002561
5 0.1 0.5 10 -8.812408 -10.219629 -9.633041 12916 22488 2768 62320.405857
5 0.1 2 1 -9.057255 -10.289704 -9.609123 13527 24492 2294 63092.941414
5 0.5 0.5 5 -8.677043 -10.321073 -9.595300 8387 10667 2778 65790.521320
5 0.5 0.5 10 -8.658217 -10.222744 -9.621454 8757 11055 2976 65841.459575
5 0.1 1 10 -8.880869 -10.312951 -9.665473 11307 18565 2692 65849.747316
5 0.5 0.5 1 -8.863732 -10.333004 -9.607029 8709 12118 2542 66221.837749
5 0.1 0.5 1 -8.936369 -10.290099 -9.566969 8789 12670 2436 66307.551718
5 0.5 2 5 -8.765533 -10.236548 -9.578940 16116 30321 2608 67667.763935
5 0.5 2 10 -8.699493 -10.247821 -9.618691 12005 19994 2856 68712.718078
5 0.5 2 1 -8.863510 -10.282367 -9.588866 8456 11750 2458 70109.114793
5 0.1 1 1 -9.040657 -10.303812 -9.636534 8129 11229 2330 70166.041140
5 0.5 1 1 -8.778699 -10.303672 -9.589916 8595 11695 2592 70411.288856
2 0.5 2 1 -9.437185 -10.752598 -10.050711 8406 11396 2562 70470.367875
5 0.5 1 10 -8.717616 -10.258584 -9.593293 8493 10665 2876 70654.465887
5 0.5 1 5 -8.662475 -10.305382 -9.588722 8311 10556 2748 70783.315300
2 0.5 2 10 -8.965305 -10.405063 -9.757647 8739 11089 2954 70713.524909
2 0.5 2 5 -9.107579 -10.501489 -9.825701 8237 10500 2712 70909.080180
2 0.5 1 1 -9.639336 -11.090756 -10.415381 8302 10966 2622 70160.022054
2 0.5 0.5 5 -9.218823 -10.794051 -10.110675 8297 10540 2758 66411.379935
2 0.5 0.5 1 -9.727231 -11.269862 -10.523381 8304 10853 2650 66688.886747
2 0.5 0.5 10 -9.080648 -10.576335 -9.919008 8694 11006 2938 66639.311284
2 0.1 1 10 -9.062820 -10.427494 -9.784371 8468 10647 2858 66620.219187
2 0.5 1 5 -9.157500 -10.671732 -9.975372 8295 10528 2756 70231.062255
2 0.1 0.5 5 -9.158569 -10.601557 -9.848436 8291 10632 2718 66349.086405
2 0.1 0.5 10 -9.116963 -10.471377 -9.833176 8382 10514 2828 66523.257927
2 0.5 1 10 -8.985963 -10.484339 -9.864154 8834 11185 2998 70609.478726
2 0.1 2 5 -9.002707 -10.338452 -9.583791 8303 10645 2716 69992.124579
2 0.1 2 1 -9.313850 -10.602455 -9.922727 8396 11536 2508 70124.043524
2 0.1 2 10 -9.020614 -10.360172 -9.693512 8475 10683 2854 70409.773087
2 0.1 1 5 -9.121471 -10.523076 -9.762918 8166 10355 2690 70150.993427
2 0.1 1 1 -9.436435 -10.761935 -10.039202 8294 11219 2552 70347.158605
2 0.1 0.5 1 -9.581018 -10.963131 -10.238994 8294 11200 2526 70353.265677