Table 2 Characteristics of the test datasets
From: Boosting methods for multi-class imbalanced data classification: an experimental review
Dataset | # of Attributes | Instances | # of classes | IR |
|---|---|---|---|---|
Conventional datasets | ||||
 Wine | 13 | 178 | 3 | 1.47 |
 Hayes-Roth | 4 | 132 | 3 | 1.7 |
 Contraceptive | 9 | 1473 | 3 | 1.89 |
 Pen-Based | 16 | 1100 | 10 | 2.18 |
 Vertebral column | 6 | 310 | 3 | 2.5 |
 New thyroid | 5 | 215 | 3 | 5 |
 Dermatology | 34 | 366 | 3 | 5.6 |
 Balance Scale | 4 | 625 | 3 | 5.8 |
 Glass | 9 | 214 | 7 | 8.44 |
 Heart (Cleveland) | 13 | 303 | 5 | 12.62 |
 Car Evaluation | 6 | 1728 | 4 | 18.61 |
 Thyroid | 21 | 7200 | 3 | 40.15 |
 Yeast | 8 | 1484 | 10 | 92.5 |
 Page blocks | 10 | 5473 | 5 | 175.46 |
 Shuttle | 9 | 58,000 | 7 | 4558.6 |
Big datasets | ||||
 FARS | 29 | 100,968 | 8 | 4679 |
 KDD Cup’99 | 41 | 494,021 | 5 | 1870 |
 Covertype | 54 | 581,012 | 7 | 103 |
 Poker | 10 | 1,000,000 | 10 | 64,212 |