Complete result settings for Retail 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 | -1.600975 | -1.586607 | -1.707297 | 752.474518 |
| 1 | 0.100000 | 50 | -1.600975 | -1.586607 | -1.707297 | 745.371414 |
| 1 | 0.100000 | 20 | -1.600975 | -1.586607 | -1.707297 | 766.355973 |
| 1 | 0.500000 | 20 | -1.524274 | -1.563556 | -1.684777 | 756.090133 |
| 1 | 0.500000 | 50 | -1.524274 | -1.563556 | -1.684777 | 762.740737 |
| 1 | 2.000000 | 10 | -1.494641 | -1.578395 | -1.701916 | 779.042476 |
| 1 | 1.000000 | 50 | -1.506648 | -1.568646 | -1.694167 | 767.079916 |
| 1 | 0.500000 | 10 | -1.524274 | -1.563556 | -1.684777 | 781.982295 |
| 1 | 1.000000 | 10 | -1.506648 | -1.568646 | -1.694167 | 783.638556 |
| 1 | 1.000000 | 20 | -1.506648 | -1.568646 | -1.694167 | 789.391071 |
| 1 | 2.000000 | 20 | -1.494641 | -1.578395 | -1.701916 | 788.130082 |
| 1 | 2.000000 | 50 | -1.494641 | -1.578395 | -1.701916 | 794.189872 |
| 2 | 0.100000 | 10 | -1.580826 | -1.584048 | -1.703926 | 12718.799468 |
| 2 | 0.500000 | 10 | -1.463069 | -1.570420 | -1.692224 | 16562.639671 |
| 2 | 1.000000 | 10 | -1.432601 | -1.584680 | -1.711222 | 17367.326178 |
| 2 | 2.000000 | 10 | -1.409398 | -1.604210 | -1.741078 | 17998.448536 |
| 2 | 0.100000 | 20 | -1.580164 | -1.586094 | -1.703958 | 24008.699104 |
| 3 | 0.100000 | 10 | -1.562968 | -1.584840 | -1.708037 | 27788.423314 |
| 3 | 0.500000 | 10 | -1.416388 | -1.566134 | -1.696377 | 28308.477286 |
| 3 | 1.000000 | 10 | -1.377800 | -1.594011 | -1.728699 | 30419.659685 |
| 2 | 0.500000 | 20 | -1.461806 | -1.573776 | -1.692343 | 31305.183417 |
| 3 | 2.000000 | 10 | -1.343762 | -1.634741 | -1.767544 | 32187.884994 |
| 2 | 1.000000 | 20 | -1.430966 | -1.585378 | -1.711840 | 32923.898265 |
| 2 | 2.000000 | 20 | -1.408325 | -1.605946 | -1.742598 | 33867.322063 |
| 4 | 0.500000 | 10 | -1.381282 | -1.575811 | -1.701794 | 42181.443653 |
| 2 | 2.000000 | 50 | -1.408050 | -1.606507 | -1.743359 | 45068.614788 |
| 4 | 1.000000 | 10 | -1.336567 | -1.613940 | -1.737700 | 45552.892764 |
| 4 | 0.100000 | 10 | -1.544090 | -1.585185 | -1.709482 | 45666.626382 |
| 2 | 0.500000 | 50 | -1.461681 | -1.574597 | -1.692564 | 48712.870345 |
| 4 | 2.000000 | 10 | -1.293656 | -1.641774 | -1.789180 | 49788.806760 |
| 3 | 0.100000 | 20 | -1.561741 | -1.584020 | -1.707021 | 51648.371839 |
| 2 | 1.000000 | 50 | -1.429935 | -1.586713 | -1.711098 | 51856.994373 |
| 3 | 0.500000 | 20 | -1.413229 | -1.567471 | -1.698149 | 52586.758346 |
| 3 | 1.000000 | 20 | -1.374325 | -1.599833 | -1.732937 | 56585.714345 |
| 2 | 0.100000 | 50 | -1.579990 | -1.587192 | -1.705204 | 57305.679401 |
| 3 | 2.000000 | 20 | -1.341488 | -1.636851 | -1.770643 | 60707.937894 |
| 4 | 0.500000 | 20 | -1.378548 | -1.579247 | -1.704288 | 78974.793150 |
| 4 | 1.000000 | 20 | -1.329250 | -1.613250 | -1.742671 | 84993.186487 |