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 |