From: Evaluating associative classification algorithms for Big Data
| Datasets | Attributes | Instances |
|---|---|---|
| Classical datasets | ||
| Appendicitis | 7 | 106 |
| Australian | 14 | 690 |
| Banana | 2 | 5300 |
| Breast | 9 | 277 |
| Cleveland | 13 | 297 |
| Contraceptive | 9 | 1473 |
| Flare | 11 | 1066 |
| German | 20 | 1000 |
| Hayes-roth | 4 | 160 |
| Heart | 13 | 270 |
| Iris | 4 | 150 |
| Lymphography | 18 | 148 |
| Magic | 10 | 19,020 |
| Mammographic | 5 | 830 |
| Monk-2 | 6 | 432 |
| Mushroom | 22 | 5644 |
| Page-blocks | 10 | 5472 |
| Phoneme | 5 | 5404 |
| Pima | 8 | 768 |
| Post-operative | 8 | 87 |
| Saheart | 9 | 462 |
| Spectfheart | 44 | 267 |
| Splice | 60 | 3190 |
| Tae | 5 | 151 |
| Tic-tac-toe | 9 | 958 |
| Titanic | 3 | 2201 |
| Vehicle | 18 | 846 |
| Wine | 13 | 178 |
| Winequality-white | 11 | 4898 |
| Wisconsin | 9 | 683 |
| Big Data datasets | ||
| Census | 40 | 299,285 |
| CoverType | 54 | 581,012 |
| Hepmass | 28 | 10,500,000 |
| Higgs | 28 | 11,000,000 |
| Poker | 10 | 1,025,010 |
| Kddcup1999 | 41 | 4,898,431 |
| KDD99_2 | 41 | 4,856,151 |
| KDD99_5 | 41 | 4,856,151 |
| Record-Linkage | 12 | 5,749,132 |
| Sussy | 18 | 5,000,000 |