Complete result settings for Reuters-52 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 0.5 1 1 -19.821226 -19.706061 -18.985879 9356 10740 2810 66887.642532
5 0.5 0.5 5 -19.436053 -19.324456 -18.606408 9536 10992 2882 67187.014021
5 0.1 0.5 5 -19.715451 -19.517284 -18.753613 8941 10159 2644 67171.223421
5 0.5 1 5 -19.424196 -19.293339 -18.589244 9496 10936 2866 67238.245232
5 0.5 0.5 1 -19.828604 -19.719572 -18.995580 9346 10726 2806 67344.047148
5 0.5 0.5 10 -19.390434 -19.255275 -18.593151 9765 11404 2914 67444.636856
5 0.1 0.5 1 -19.813210 -19.683526 -18.937878 9288 10646 2782 67364.937972
5 0.5 2 10 -19.328728 -19.166556 -18.500212 9931 11783 2936 67504.659731
5 0.1 1 1 -19.881277 -19.732563 -18.995931 9141 10439 2724 67569.814826
5 0.1 1 10 -19.469631 -19.289792 -18.604860 9333 10709 2800 67548.583053
5 0.5 2 1 -19.783426 -19.640564 -18.918625 9376 10768 2818 67745.354140
5 0.5 1 10 -19.406441 -19.248638 -18.593627 9583 11068 2898 67710.796393
5 0.5 2 5 -19.366305 -19.217432 -18.524229 9576 11048 2898 67674.196957
5 0.1 1 5 -19.557081 -19.378389 -18.659198 9196 10516 2746 67801.584591
5 0.1 0.5 10 -19.358617 -19.222674 -18.531442 9578 11052 2898 67924.728871
5 0.1 2 5 -19.456457 -19.275107 -18.535833 9320 10708 2790 69497.036843
2 0.5 2 5 -19.547106 -19.418404 -18.679465 9511 10957 2872 69893.744534
2 0.5 2 10 -19.490680 -19.351233 -18.639484 9621 11111 2916 68996.223978
2 0.5 2 1 -19.942277 -19.823500 -19.084069 9396 10796 2826 72271.491062
2 0.5 1 1 -19.998765 -19.857078 -19.098192 9326 10698 2798 67137.906486
2 0.5 1 5 -19.574789 -19.436158 -18.684596 9526 10978 2878 67721.248805
2 0.5 0.5 1 -19.999431 -19.862528 -19.107216 9396 10796 2826 66937.351975
2 0.5 1 10 -19.526837 -19.363601 -18.675898 9655 11200 2914 67426.235653
2 0.5 0.5 5 -19.596192 -19.437254 -18.706985 9506 10950 2870 67255.279643
2 0.5 0.5 10 -19.538329 -19.369719 -18.682395 9611 11097 2912 67543.571816
2 0.1 1 1 -19.997716 -19.854911 -19.081559 9211 10537 2752 67810.116294
2 0.1 1 10 -19.594210 -19.394184 -18.689475 9361 10775 2804 67453.325535
2 0.1 2 5 -19.592078 -19.426782 -18.676003 9346 10726 2806 68959.319589
2 0.1 0.5 1 -19.979106 -19.839723 -19.076204 9301 10663 2788 68017.822719
2 0.1 1 5 -19.645676 -19.449182 -18.718790 9201 10523 2748 68970.513887
5 0.1 2 10 -19.254284 -19.104151 -18.445917 9610 11098 2910 80414.334162
5 0.1 2 1 -19.641008 -19.517499 -18.797340 9409 10864 2814 80454.268091
2 0.1 0.5 5 -19.793097 -19.558498 -18.781092 8876 10068 2618 70084.684508
2 0.1 0.5 10 -19.503610 -19.366316 -18.648994 9581 11055 2900 69513.910279
2 0.1 2 1 -19.894990 -19.741359 -19.011452 9396 10796 2826 79947.021205
2 0.1 2 10 -19.452826 -19.296946 -18.605133 9636 11132 2922 80397.708689
5 0.5 1 20 -19.371451 -19.220242 -18.583144 9691 11242 2930
5 0.1 1 20 -19.478487 -19.280786 -18.624337 9391 10804 2820
5 0.5 2 20 -19.340182 -19.188828 -18.553596 9683 11226 2932
5 0.1 2 20 -19.231373 -19.094214 -18.434196 9673 11186 2936
5 0.1 0.5 20 -19.423774 -19.280171 -18.596783 9526 11026 2858
5 0.5 0.5 20 -19.354082 -19.251318 -18.606302 9733 11298 2948