Complete result settings for Pumsb-star 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 10 -2.759638 -2.874102 -2.861143 844.501916
1 0.100000 50 -2.759638 -2.874102 -2.861143 848.333532
1 0.500000 10 -2.549675 -2.721819 -2.701118 862.896710
1 0.500000 20 -2.549675 -2.721819 -2.701118 872.227556
1 0.100000 20 -2.759638 -2.874102 -2.861143 888.159857
1 1.000000 50 -2.505537 -2.693922 -2.666735 879.738320
1 2.000000 10 -2.483683 -2.688579 -2.661332 892.180071
1 1.000000 10 -2.505537 -2.693922 -2.666735 907.888057
1 1.000000 20 -2.505537 -2.693922 -2.666735 904.660694
1 0.500000 50 -2.549675 -2.721819 -2.701118 909.518395
1 2.000000 50 -2.483683 -2.688579 -2.661332 910.989793
1 2.000000 20 -2.483683 -2.688579 -2.661332 922.846839
2 2.000000 50 -2.340609 -2.787169 -2.742937 11571.157479
2 2.000000 20 -2.340609 -2.787169 -2.742937 11654.611260
2 2.000000 10 -2.340609 -2.787169 -2.742937 11713.784801
2 0.100000 10 -2.695071 -2.895877 -2.866550 14078.446591
2 0.500000 10 -2.435647 -2.779675 -2.740298 14697.713325
2 1.000000 10 -2.375191 -2.769631 -2.739916 14873.602236
2 1.000000 20 -2.372756 -2.769578 -2.743646 16870.899410
2 1.000000 50 -2.372756 -2.769578 -2.743646 17012.558089
2 0.500000 20 -2.434472 -2.779465 -2.742761 18905.906125
2 0.500000 50 -2.434472 -2.779465 -2.742761 19116.511565
3 0.100000 10 -2.645642 -2.908170 -2.884749 25278.980532
2 0.100000 50 -2.692480 -2.896202 -2.867723 25417.488824
2 0.100000 20 -2.692480 -2.896202 -2.867723 25599.949049
3 0.500000 10 -2.341700 -2.821300 -2.758805 27022.132446
3 2.000000 10 -2.211235 -2.871688 -2.865742 27335.459193
3 1.000000 10 -2.262066 -2.839339 -2.792638 27416.831681
3 2.000000 20 -2.201635 -2.905142 -2.864877 37409.132540
3 2.000000 50 -2.197614 -2.949650 -2.893350 38869.502432
4 0.100000 10 -2.607381 -2.920311 -2.892678 38954.652827
4 1.000000 10 -2.164441 -2.916784 -2.867331 41151.491573
4 0.500000 10 -2.257190 -2.849822 -2.834127 41865.291193
4 2.000000 10 -2.095137 -2.998949 -2.974571 42174.239928
3 0.100000 20 -2.639168 -2.915809 -2.890877 47181.366474
3 0.500000 20 -2.338491 -2.842353 -2.794758 49999.860381
3 1.000000 20 -2.253697 -2.856503 -2.815012 50279.155871
3 1.000000 50 -2.250598 -2.858915 -2.835423 63682.097129
3 0.500000 50 -2.336548 -2.840533 -2.807569 65950.145412
4 0.100000 20 -2.593287 -2.927507 -2.898502 72509.885387
4 0.500000 20 -2.247341 -2.883263 -2.871428 76081.949871
4 1.000000 20 -2.152328 -2.913983 -2.907042 77292.722762
4 2.000000 20 -2.089116 -2.991684 -2.946286 78911.003890
4 2.000000 50 -2.088059 -3.008859 -2.996453 84645.852404