Complete result settings for Jester 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 | 1.000000 | 10 | -9.876006 | -9.960053 | -10.003722 | 212.416086 |
1 | 2.000000 | 10 | -9.875782 | -9.960109 | -10.003890 | 216.288930 |
1 | 0.500000 | 10 | -9.876558 | -9.960328 | -10.003764 | 216.592364 |
1 | 0.100000 | 10 | -9.886744 | -9.966938 | -10.007142 | 219.155879 |
1 | 2.000000 | 20 | -9.875782 | -9.960109 | -10.003890 | 220.343116 |
1 | 1.000000 | 20 | -9.876006 | -9.960053 | -10.003722 | 221.918074 |
1 | 0.100000 | 20 | -9.886744 | -9.966938 | -10.007142 | 217.595984 |
1 | 0.100000 | 50 | -9.886744 | -9.966938 | -10.007142 | 216.259595 |
1 | 1.000000 | 50 | -9.876006 | -9.960053 | -10.003722 | 217.422808 |
1 | 0.500000 | 50 | -9.876558 | -9.960328 | -10.003764 | 219.502200 |
1 | 2.000000 | 50 | -9.875782 | -9.960109 | -10.003890 | 224.435713 |
1 | 0.500000 | 20 | -9.876558 | -9.960328 | -10.003764 | 232.635856 |
2 | 0.500000 | 10 | -9.625755 | -10.147240 | -10.197053 | 4443.140799 |
2 | 2.000000 | 10 | -9.621708 | -10.188245 | -10.213042 | 4492.800127 |
2 | 0.100000 | 10 | -9.655370 | -10.135689 | -10.136943 | 4498.649005 |
2 | 1.000000 | 10 | -9.616428 | -10.177030 | -10.222156 | 4618.890121 |
2 | 0.100000 | 20 | -9.649265 | -10.125138 | -10.144628 | 7606.725744 |
2 | 0.100000 | 50 | -9.649265 | -10.125138 | -10.144628 | 7704.350370 |
3 | 2.000000 | 10 | -9.388182 | -10.474585 | -10.454077 | 8093.866099 |
3 | 0.100000 | 10 | -9.436489 | -10.263081 | -10.299789 | 8253.488726 |
3 | 0.500000 | 10 | -9.368444 | -10.406444 | -10.417125 | 8287.657284 |
2 | 0.500000 | 20 | -9.619770 | -10.141448 | -10.204778 | 8454.426256 |
2 | 2.000000 | 20 | -9.613668 | -10.194288 | -10.208491 | 8463.190641 |
3 | 1.000000 | 10 | -9.346607 | -10.407371 | -10.450980 | 8560.842871 |
2 | 1.000000 | 20 | -9.608736 | -10.186755 | -10.222381 | 8703.779733 |
2 | 0.500000 | 50 | -9.619147 | -10.140485 | -10.204462 | 10593.934127 |
4 | 0.100000 | 10 | -9.205964 | -10.425293 | -10.440493 | 12810.569376 |
4 | 2.000000 | 10 | -9.110586 | -10.783971 | -10.812399 | 12815.753434 |
4 | 0.500000 | 10 | -9.097331 | -10.759823 | -10.687476 | 12869.055834 |
4 | 1.000000 | 10 | -9.078594 | -10.790404 | -10.750896 | 13409.284979 |
3 | 0.500000 | 20 | -9.369404 | -10.376006 | -10.418723 | 15485.826674 |
3 | 2.000000 | 20 | -9.373984 | -10.499788 | -10.469746 | 15559.408823 |
3 | 0.100000 | 20 | -9.415332 | -10.225089 | -10.285022 | 15638.370520 |
3 | 1.000000 | 20 | -9.329082 | -10.474579 | -10.497945 | 16133.858500 |
2 | 2.000000 | 50 | -9.601118 | -10.196068 | -10.204483 | 20495.484590 |
2 | 1.000000 | 50 | -9.599115 | -10.183171 | -10.217615 | 20790.755741 |
4 | 0.100000 | 20 | -9.188196 | -10.422427 | -10.454369 | 23740.614243 |
4 | 0.500000 | 20 | -9.086158 | -10.699287 | -10.735691 | 24309.244713 |
4 | 2.000000 | 20 | -9.089042 | -10.723653 | -10.832521 | 24835.045104 |
4 | 1.000000 | 20 | -9.059341 | -10.815924 | -10.831911 | 25048.804766 |
3 | 0.500000 | 50 | -9.327137 | -10.461219 | -10.483974 | 30589.904669 |
3 | 0.100000 | 50 | -9.411993 | -10.293118 | -10.310071 | 30977.044136 |
3 | 2.000000 | 50 | -9.327757 | -10.450615 | -10.484757 | 38022.056828 |
3 | 1.000000 | 50 | -9.318311 | -10.426200 | -10.491917 | 38962.824309 |
4 | 2.000000 | 50 | -9.052161 | -10.847632 | -10.878205 | 49305.451353 |
4 | 0.100000 | 50 | -9.168155 | -10.454839 | -10.493733 | 53845.152961 |
4 | 0.500000 | 50 | -9.039170 | -10.706611 | -10.787412 | 57220.715952 |
4 | 1.000000 | 50 | -9.053498 | -10.773124 | -10.809643 | 60406.913257 |
2 | 0.050000 | 10 | -9.703610 | -10.093454 | -10.113774 | 4285.528301 |
2 | 0.010000 | 10 | -9.958735 | -10.151791 | -10.187586 | 5136.308009 |
3 | 0.050000 | 10 | -9.500871 | -10.177094 | -10.211216 | 7963.653665 |
3 | 0.010000 | 10 | -9.828108 | -10.190525 | -10.216902 | 11298.578550 |