Complete result settings for NLTCS 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 | 5 | -1.266852 | -1.266962 | -1.258349 | 544 | 808 | 176 | 22.014653 |
5 | 0.5 | 1 | 5 | -1.266807 | -1.269290 | -1.259425 | 514 | 734 | 174 | 22.664553 |
5 | 0.5 | 2 | 10 | -1.267811 | -1.274515 | -1.257419 | 538 | 787 | 184 | 23.338452 |
5 | 0.5 | 1 | 10 | -1.266916 | -1.271837 | -1.258409 | 537 | 775 | 188 | 23.694397 |
5 | 0.5 | 2 | 1 | -1.269539 | -1.276566 | -1.263000 | 633 | 964 | 204 | 30.814314 |
5 | 0.1 | 2 | 5 | -1.268236 | -1.269629 | -1.260307 | 516 | 753 | 172 | 22.459585 |
5 | 0.1 | 2 | 10 | -1.268415 | -1.273643 | -1.258541 | 516 | 753 | 178 | 23.074492 |
5 | 0.5 | 0.5 | 5 | -1.267304 | -1.269115 | -1.259189 | 542 | 792 | 180 | 23.936360 |
5 | 0.5 | 1 | 1 | -1.267241 | -1.280401 | -1.260532 | 670 | 1030 | 212 | 35.036672 |
5 | 0.1 | 1 | 5 | -1.267199 | -1.266669 | -1.257911 | 534 | 794 | 172 | 23.423438 |
5 | 0.1 | 1 | 10 | -1.267559 | -1.271568 | -1.259862 | 532 | 768 | 186 | 23.947358 |
5 | 0.1 | 0.5 | 5 | -1.268355 | -1.271332 | -1.260761 | 535 | 765 | 178 | 24.099336 |
5 | 0.5 | 0.5 | 10 | -1.265751 | -1.273158 | -1.258848 | 570 | 823 | 200 | 26.878913 |
5 | 0.1 | 0.5 | 10 | -1.265362 | -1.271368 | -1.260052 | 599 | 876 | 204 | 28.680639 |
5 | 0.1 | 2 | 1 | -1.268981 | -1.272371 | -1.263067 | 600 | 919 | 186 | 30.084426 |
5 | 0.1 | 1 | 1 | -1.268464 | -1.274159 | -1.260323 | 642 | 992 | 202 | 32.926994 |
5 | 0.1 | 0.5 | 1 | -1.267584 | -1.274421 | -1.257596 | 656 | 1006 | 210 | 34.984680 |
5 | 0.5 | 0.5 | 1 | -1.264755 | -1.276929 | -1.258286 | 694 | 1058 | 224 | 36.996374 |
2 | 0.1 | 2 | 10 | -1.262258 | -1.267222 | -1.253276 | 763 | 1167 | 256 | 46.026002 |
2 | 0.1 | 2 | 5 | -1.262296 | -1.266801 | -1.261352 | 766 | 1130 | 258 | 46.080993 |
2 | 0.1 | 0.5 | 10 | -1.259890 | -1.268403 | -1.255963 | 832 | 1227 | 288 | 46.459936 |
2 | 0.5 | 2 | 10 | -1.261265 | -1.267723 | -1.253381 | 805 | 1236 | 274 | 51.064236 |
2 | 0.5 | 1 | 10 | -1.259854 | -1.267900 | -1.254460 | 806 | 1206 | 280 | 52.150071 |
2 | 0.5 | 2 | 5 | -1.259508 | -1.268514 | -1.258595 | 806 | 1181 | 278 | 55.524558 |
2 | 0.1 | 0.5 | 5 | -1.260424 | -1.268048 | -1.259385 | 793 | 1150 | 276 | 52.892958 |
2 | 0.5 | 1 | 5 | -1.259131 | -1.266536 | -1.260321 | 848 | 1247 | 296 | 57.202303 |
2 | 0.1 | 1 | 10 | -1.260885 | -1.268807 | -1.256269 | 811 | 1244 | 278 | 55.282595 |
2 | 0.5 | 0.5 | 10 | -1.258113 | -1.266550 | -1.254992 | 864 | 1297 | 298 | 56.957340 |
2 | 0.1 | 1 | 5 | -1.260254 | -1.268600 | -1.260382 | 845 | 1231 | 296 | 58.837054 |
2 | 0.5 | 0.5 | 5 | -1.257895 | -1.269561 | -1.257711 | 906 | 1354 | 306 | 65.500042 |
2 | 0.5 | 2 | 1 | -1.259298 | -1.269701 | -1.260492 | 1014 | 1570 | 330 | 80.066827 |
2 | 0.5 | 1 | 1 | -1.257383 | -1.272009 | -1.258955 | 1059 | 1605 | 356 | 86.230890 |
2 | 0.1 | 2 | 1 | -1.260972 | -1.275062 | -1.264368 | 1005 | 1560 | 330 | 87.731662 |
2 | 0.1 | 1 | 1 | -1.260997 | -1.275445 | -1.258985 | 1071 | 1650 | 358 | 88.284577 |
2 | 0.1 | 0.5 | 1 | -1.260086 | -1.274170 | -1.256792 | 1092 | 1684 | 362 | 94.533627 |
2 | 0.5 | 0.5 | 1 | -1.256322 | -1.272354 | -1.261784 | 1123 | 1728 | 370 | 97.159228 |