Table 1 The description of benchmark classification datasets
From: Data-driven multinomial random forest: a new random forest variant with strong consistency
Data sets | Samples | Features | Classes |
|---|---|---|---|
Blogger | 100 | 6 | 2 |
Bone marrow | 187 | 39 | 2 |
Algerian forest fires | 244 | 12 | 2 |
Vertebral | 310 | 6 | 3 |
Chronic kidney disease | 400 | 25 | 2 |
Cvr | 435 | 16 | 2 |
House-votes | 453 | 16 | 2 |
Wdbc | 569 | 39 | 2 |
Breast original | 699 | 10 | 2 |
Balance scale | 625 | 4 | 3 |
Raisin | 900 | 8 | 2 |
Vehicle | 946 | 18 | 4 |
Tic-tac-toe | 958 | 9 | 2 |
HCV | 1385 | 28 | 4 |
Winequality (red) | 1599 | 11 | 7 |
Wireless | 2000 | 7 | 4 |
Obesity | 2111 | 17 | 7 |
Ad | 3279 | 1558 | 2 |
Spambase | 4601 | 57 | 2 |
Winequality (white) | 4898 | 11 | 7 |
Page blocks | 5473 | 10 | 5 |
MFCCs | 7195 | 22 | 4 |
Mushroom | 8124 | 22 | 7 |
Ai4i | 10000 | 14 | 3 |
Letter | 20000 | 16 | 26 |
Adult | 48842 | 14 | 2 |
Connect-4 | 67557 | 42 | 3 |