Table 2.
Datasets description.
| Dataset | Problem | Train/test split | Target variable | Continuous | Binary | Multi-class | Mixed-type | Long-tail | General transform |
|---|---|---|---|---|---|---|---|---|---|
| Adult | Classification | 39k/9k | “income” | 3 | 2 | 7 | 2 | 0 | 1 |
| Covertype | Classification | 40k/10k | “Cover_Type” | 10 | 44 | 1 | 0 | 0 | 47 |
| Credit | Classification | 40k/10k | “Class” | 30 | 1 | 0 | 0 | 1 | 29 |
| Intrusion | Classification | 40k/10k | “Class” | 22 | 6 | 14 | 0 | 2 | 6 |
| Loan | Classification | 4k/1k | “PersonalLoan” | 5 | 5 | 2 | 1 | 0 | 9 |
| Insurance | Regression | 1k/300 | “charges” | 3 | 2 | 2 | 0 | 0 | 1 |
| King | Regression | 17.3k/4.3k | 'price' | 11 | 2 | 5 | 2 | 0 | 7 |