Research Article
An Approach to Data Reduction for Learning from Big Datasets: Integrating Stacking, Rotation, and Agent Population Learning Techniques
Table 1
Characteristics of the datasets used in this paper.
| Dataset | Source of data | Instances | Attributes | Classes | Best reported results classification accuracy |
| Heart | [15] | 303 | 13 | 2 | 90.0% [15] | Diabetes | [15] | 768 | 8 | 2 | 77.34% [15] | WBC | [15] | 699 | 9 | 2 | 97.5% [15] | ACredit | [15] | 690 | 15 | 2 | 86.9% [15] | GCredit | [15] | 1000 | 20 | 2 | 77.47% [15] | Sonar | [15] | 208 | 60 | 2 | 97.1% [15] | Shuttle | [15] | 58,000 | 9 | 7 | 95.6% [42] | Connect-4 | [16] | 67,557 | 42 | 3 | — | Magic | [16] | 19,020 | 10 | 2 | — | Census | [16] | 142,521 | 41 | 3 | — |
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