Research Article
A Novel Algorithm for Imbalance Data Classification Based on Neighborhood Hypergraph
| Dataset | Size | Attribute | Class label (minority : majority) | Class distribution |
| Bupa | 345 | 6C | 01 : 02 | 145/200 | Colic | 368 | 7C 15N | No : yes | 136/232 | Reprocessed | 294 | 13C | 01 : 00 | 106/188 | Machine | 209 | 7C | Others : 2 | 74/135 | Labor | 57 | 8C 8N | Bad : good | 20/37 | Tic | 958 | 9N | Negative : positive | 332/626 | Iris | 150 | 4C | Iris-virginica : others | 50/100 | Seed | 210 | 7C | 02 : others | 70/140 | Vc | 310 | 6C | Normal : Abnormal | 100/210 | Glass | 214 | 9C | 01, 02 : others | 68/146 | Haberman | 306 | 3C | 02 : 01 | 81/225 | Transfusion | 748 | 4C | 01 : 00 | 178/570 | Abalone (7 : 15) | 494 | 7C 1N | 15 : 07 | 103/391 | Balance-scale | 625 | 4C | B : others | 49/576 | Abalone (9 : 18) | 731 | 7C 1N | 18 : 9 | 42/689 | Yeast (POX : CTY) | 483 | 8C | POX : CYT | 20/463 | Car | 1728 | 6N | Good : others | 69/1659 | Yeast (ME2 : others) | 1484 | 8C | ME2 : others | 51/1433 |
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C: continuous, N: nominal.
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