Research Article
Imbalanced Data Set CSVM Classification Method Based on Cluster Boundary Sampling
Table 1
The basic information of four UCI data sets.
| | Data set | Number of negative samples | Number of positive samples | Imbalance ratio | Data description |
| | Shuttle | 57829 | 171 | 338 : 1 | High imbalance ratio
High information amount | | Abalone | 4145 | 32 | 130 : 1 | High imbalance ratio
Low information amount | | Yeast | 1433 | 51 | 28 : 1 | Low imbalance ratio
Low information amount | | Churn | 4293 | 707 | 6 : 1 | Low imbalance ratio
High information amount |
|
|
