Complete result settings for Accidents 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 0.100000 50 -3.888498 -3.930884 -4.007731 364.284284
1 0.500000 10 -3.608127 -3.677144 -3.761627 382.924847
1 0.100000 20 -3.888498 -3.930884 -4.007731 373.045828
1 0.500000 20 -3.608127 -3.677144 -3.761627 387.770687
1 2.000000 10 -3.527352 -3.621346 -3.710940 412.092380
1 1.000000 10 -3.551666 -3.635696 -3.722613 402.418925
1 0.100000 10 -3.888498 -3.930884 -4.007731 374.840178
1 1.000000 20 -3.551666 -3.635696 -3.722613 406.682102
1 2.000000 50 -3.527352 -3.621346 -3.710940 408.389780
1 2.000000 20 -3.527352 -3.621346 -3.710940 399.456570
1 1.000000 50 -3.551666 -3.635696 -3.722613 441.588049
1 0.500000 50 -3.608127 -3.677144 -3.761627 441.630867
2 0.100000 10 -3.765723 -3.898781 -3.979853 8446.613608
2 2.000000 10 -3.332751 -3.639261 -3.738780 8478.686518
2 0.500000 10 -3.434101 -3.676453 -3.773417 8485.767697
2 2.000000 20 -3.335005 -3.640539 -3.740940 8598.964824
2 1.000000 10 -3.370496 -3.634345 -3.745899 8695.406924
2 2.000000 50 -3.335005 -3.640539 -3.740940 8745.748899
2 0.500000 20 -3.432483 -3.675662 -3.772418 10787.885888
2 0.500000 50 -3.432483 -3.675662 -3.772418 10965.393664
3 0.100000 10 -3.687953 -3.896270 -3.989250 15002.927081
3 2.000000 10 -3.195200 -3.725342 -3.845312 15430.671208
3 0.500000 10 -3.319457 -3.711569 -3.813493 15680.209315
3 1.000000 10 -3.238799 -3.696494 -3.839916 15701.597832
2 0.100000 20 -3.762864 -3.897248 -3.978716 16009.104793
2 1.000000 20 -3.367945 -3.635961 -3.752123 16154.321873
2 0.100000 50 -3.763410 -3.898211 -3.979371 18633.415516
2 1.000000 50 -3.366581 -3.635594 -3.751606 22103.654839
4 0.100000 10 -3.634325 -3.915258 -4.009339 22972.500549
4 0.500000 10 -3.222451 -3.776702 -3.900308 23470.431199
4 2.000000 10 -3.069859 -3.874441 -3.962711 23769.371278
4 1.000000 10 -3.127663 -3.781592 -3.912426 23928.153500
3 0.500000 20 -3.313998 -3.715605 -3.822884 24341.542888
3 2.000000 20 -3.185338 -3.732655 -3.852561 25353.894771
3 0.100000 20 -3.678278 -3.898526 -3.986954 28366.031822
3 0.500000 50 -3.325344 -3.730711 -3.817210 29598.477283
3 1.000000 20 -3.227903 -3.697203 -3.852545 29619.045973
3 2.000000 50 -3.175410 -3.744879 -3.858589 30067.810286
3 1.000000 50 -3.236995 -3.724086 -3.855289 36349.451491
4 0.100000 20 -3.617529 -3.918039 -3.994132 44219.912064
4 0.500000 20 -3.210435 -3.791055 -3.906801 44468.541082
4 2.000000 20 -3.044224 -3.890841 -3.975997 44507.260805
4 1.000000 20 -3.115392 -3.796581 -3.938877 45310.262263
3 0.100000 50 -3.676371 -3.901062 -3.985761 54677.432216
4 0.500000 50 -3.211586 -3.796585 -3.866266 58274.646747
4 0.100000 50 -3.618215 -3.908673 -4.006471 63891.863574
4 2.000000 50 -3.046281 -3.883500 -3.973666 66728.931440
4 1.000000 50 -3.105847 -3.822226 -3.921849 71670.345433