Complete result settings for 20 Newsgroup dataset (table columns are sortable)
The experiments are described in Rooshenas and Lowd, Discriminative Structure Learning of Arithmetic Circuits, AIStats 16
| Split Penalty | Standard Deviation | L1 Penalty | Initial Evidence | Train CLL | Validation CLL | Test CLL | Node# | Edge# | Feature# | Learning Time |
| 5 | 0.5 | 2 | 1 | -26.840825 | -24.191849 | -30.082908 | 9110 | 10351 | 2702 | 68240.412879 |
| 5 | 0.5 | 1 | 1 | -26.836530 | -24.194283 | -30.088749 | 9140 | 10393 | 2714 | 68371.555943 |
| 5 | 0.5 | 2 | 5 | -26.751454 | -24.098334 | -29.993697 | 9255 | 10554 | 2760 | 68692.176201 |
| 5 | 0.5 | 2 | 10 | -26.751454 | -24.098334 | -29.993697 | 9255 | 10554 | 2760 | 68903.397090 |
| 5 | 0.5 | 1 | 5 | -26.773589 | -24.127955 | -30.024602 | 9205 | 10484 | 2740 | 69353.051732 |
| 5 | 0.1 | 2 | 10 | -26.789926 | -24.123542 | -30.008188 | 9120 | 10365 | 2706 | 69291.406105 |
| 2 | 0.5 | 1 | 5 | -26.818138 | -24.143480 | -30.073021 | 9210 | 10491 | 2742 | 68554.560122 |
| 5 | 0.1 | 1 | 1 | -26.852485 | -24.198973 | -30.083958 | 9075 | 10302 | 2688 | 68634.839918 |
| 5 | 0.5 | 0.5 | 10 | -26.779802 | -24.127850 | -30.048753 | 9195 | 10470 | 2736 | 68634.331995 |
| 2 | 0.5 | 2 | 1 | -26.899402 | -24.215519 | -30.134992 | 9075 | 10302 | 2688 | 68667.193999 |
| 2 | 0.1 | 2 | 1 | -26.904042 | -24.214354 | -30.125864 | 9035 | 10246 | 2672 | 68719.377066 |
| 2 | 0.1 | 1 | 1 | -26.907333 | -24.219052 | -30.135176 | 9040 | 10253 | 2674 | 68703.436489 |
| 5 | 0.5 | 0.5 | 1 | -26.841028 | -24.195103 | -30.106678 | 9135 | 10386 | 2712 | 68753.089941 |
| 5 | 0.1 | 2 | 1 | -26.856788 | -24.199784 | -30.077931 | 9055 | 10274 | 2680 | 68753.791834 |
| 2 | 0.5 | 1 | 10 | -26.816419 | -24.145106 | -30.074913 | 9225 | 10512 | 2748 | 68802.999353 |
| 2 | 0.5 | 2 | 5 | -26.814907 | -24.137597 | -30.060266 | 9190 | 10463 | 2734 | 68874.170533 |
| 2 | 0.5 | 0.5 | 10 | -26.824578 | -24.164056 | -30.083987 | 9215 | 10498 | 2744 | 68975.826080 |
| 5 | 0.5 | 1 | 10 | -26.770321 | -24.118535 | -30.022215 | 9220 | 10505 | 2746 | 68952.026698 |
| 2 | 0.5 | 1 | 1 | -26.894387 | -24.211112 | -30.140772 | 9135 | 10386 | 2712 | 69044.628620 |
| 2 | 0.1 | 2 | 10 | -26.829393 | -24.147955 | -30.056221 | 9105 | 10344 | 2700 | 69064.530595 |
| 2 | 0.1 | 0.5 | 10 | -26.819340 | -24.140739 | -30.079714 | 9185 | 10456 | 2732 | 69085.293438 |
| 5 | 0.1 | 0.5 | 10 | -26.771634 | -24.112919 | -30.016743 | 9195 | 10470 | 2736 | 69136.404668 |
| 5 | 0.1 | 2 | 5 | -26.773760 | -24.114282 | -30.003387 | 9165 | 10428 | 2724 | 69184.390373 |
| 2 | 0.5 | 0.5 | 1 | -26.898893 | -24.229636 | -30.151427 | 9155 | 10414 | 2720 | 69173.793984 |
| 5 | 0.1 | 0.5 | 5 | -26.765254 | -24.107983 | -30.018527 | 9220 | 10505 | 2746 | 69286.135905 |
| 5 | 0.5 | 0.5 | 5 | -26.783217 | -24.128963 | -30.053148 | 9190 | 10463 | 2734 | 69252.785975 |
| 2 | 0.5 | 0.5 | 5 | -26.826992 | -24.165629 | -30.084044 | 9205 | 10484 | 2740 | 69358.415918 |
| 5 | 0.1 | 0.5 | 1 | -26.817951 | -24.163732 | -30.068789 | 9185 | 10456 | 2732 | 69328.501465 |
| 2 | 0.1 | 0.5 | 1 | -26.894476 | -24.213153 | -30.145606 | 9120 | 10365 | 2706 | 69347.408591 |
| 2 | 0.1 | 2 | 5 | -26.816988 | -24.140449 | -30.057246 | 9135 | 10386 | 2712 | 69444.012905 |
| 2 | 0.1 | 0.5 | 5 | -26.818272 | -24.141035 | -30.079949 | 9200 | 10477 | 2738 | 69494.557220 |
| 2 | 0.5 | 2 | 10 | -26.809512 | -24.138037 | -30.093179 | 9205 | 10484 | 2740 | 78278.158910 |
| 2 | 0.1 | 1 | 10 | -26.809836 | -24.135437 | -30.108949 | 9195 | 10470 | 2736 | 79163.195364 |
| 2 | 0.1 | 1 | 5 | -26.817660 | -24.144187 | -30.094126 | 9180 | 10449 | 2730 | 79686.467815 |
| 5 | 0.1 | 1 | 5 | -26.751181 | -24.095697 | -30.032140 | 9250 | 10547 | 2758 | 81948.823884 |
| 5 | 0.1 | 1 | 10 | -26.766305 | -24.108185 | -30.026370 | 9215 | 10498 | 2744 | optimization. |
| 5 | 0.5 | 0.5 | 20 | -26.779802 | -24.127850 | -30.048753 | 9195 | 10470 | 2736 | optimization. |
| 5 | 0.5 | 2 | 20 | -26.773557 | -24.116128 | -30.002763 | 9190 | 10463 | 2734 | optimization. |
| 5 | 0.5 | 1 | 20 | -26.773589 | -24.127955 | -30.024602 | 9205 | 10484 | 2740 | optimization. |
| 5 | 0.1 | 2 | 20 | -26.789926 | -24.123542 | -30.008188 | 9120 | 10365 | 2706 | optimization. |
| 5 | 0.1 | 0.5 | 20 | -26.789092 | -24.133321 | -30.040464 | 9140 | 10393 | 2714 | optimization. |
| 5 | 0.1 | 1 | 20 | -26.769855 | -24.111632 | -30.028554 | 9200 | 10477 | 2738 | optimization. |