Complete result settings for WebKB 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 -16.452086 -29.961357 -29.890714 7900.936489
1 0.100000 50 -16.452086 -29.961357 -29.890714 8099.416696
1 0.100000 20 -16.452086 -29.961357 -29.890714 8296.940715
1 0.500000 10 -8.628851 -33.870635 -33.647971 8622.379869
1 2.000000 20 -4.499506 -40.891815 -40.692754 8698.711324
1 1.000000 20 -6.278042 -37.240266 -36.821441 8792.682211
1 1.000000 50 -6.278042 -37.240266 -36.821441 8925.301166
1 0.500000 50 -8.628851 -33.870635 -33.647971 8986.413749
1 0.500000 20 -8.628851 -33.870635 -33.647971 9077.452035
1 2.000000 10 -4.499506 -40.891815 -40.692754 9080.856127
1 1.000000 10 -6.278042 -37.240266 -36.821441 9186.610966
1 2.000000 50 -4.499506 -40.891815 -40.692754 9572.314686
2 0.100000 10 -12.174669 -30.626017 -30.530445 20548.911768
2 0.100000 20 -12.174669 -30.626017 -30.530445 22173.584432
2 0.100000 50 -12.174669 -30.626017 -30.530445 22757.058272
2 0.500000 10 -5.357431 -35.076283 -34.888810 25944.995440
2 0.500000 50 -5.357431 -35.076283 -34.888810 27402.634344
2 0.500000 20 -5.357431 -35.076283 -34.888810 27601.122919
2 2.000000 10 -2.451098 -40.881254 -40.369073 28481.569440
2 2.000000 50 -2.451098 -40.881254 -40.369073 29060.536956
2 2.000000 20 -2.451098 -40.881254 -40.369073 29275.972233
2 1.000000 50 -3.628784 -37.894219 -37.160486 30151.346990
2 1.000000 20 -3.628784 -37.894219 -37.160486 30241.644258
2 1.000000 10 -3.628784 -37.894219 -37.160486 30852.902855
3 0.100000 10 -9.897101 -31.389454 -31.342132 42067.626248
3 0.100000 20 -9.867342 -31.398595 -31.334465 49084.732192
3 0.100000 50 -9.867342 -31.398595 -31.334465 51624.233180
3 0.500000 10 -4.237243 -35.470932 -35.156219 57215.610113
3 1.000000 10 -2.967286 -37.469887 -37.081739 57613.143629
3 2.000000 10 -2.158787 -40.127938 -39.377048 58362.604624
3 1.000000 20 -2.968107 -37.463381 -37.094027 65390.953110
3 2.000000 50 -2.161564 -40.044521 -39.484717 68643.594080
3 2.000000 20 -2.161564 -40.044521 -39.484717 69530.916703
3 1.000000 50 -2.962718 -37.529107 -37.082623 69643.037370
3 0.500000 20 -4.242002 -35.546641 -35.120695 71135.842473
3 0.500000 50 -4.242002 -35.546641 -35.120695 71210.304708
4 0.100000 10 -8.692990 -31.842582 -31.796874 71826.321244
4 0.100000 20 -8.674363 -31.998389 -31.763661 71917.747949
4 0.100000 50 -8.674363 -31.998389 -31.763661 76220.663906
4 0.500000 10 -3.784578 -35.669545 -35.267300 81069.188127
1 0.010000 10 -30.763572 -34.866224 -34.905397 7511.945535
1 0.050000 10 -20.469375 -30.118699 -30.145661 7966.948599