TABLE 4.
Spam data. From left to right: the recall on test data under various cost ratios, the precision corresponding to the highest recall, training time, and test time.
Recall with different cost ratios C +: C − | Precision | Training Time(s) | Test Time(s) | |||||||
---|---|---|---|---|---|---|---|---|---|---|
1:1 | 1.5:1 | 2:1 | 2.5:1 | 5:1 | 7.5 | 10:1 | ||||
Adacost | 0.633 | 0.669 | 0.698 | 0.878 | 0.698 | 0.92 | 0.775 | 0.1 | 1.41 | 0.004 |
AdaC1 | 0.633 | 0.824 | 0.885 | 0.896 | 0.917 | 0.99 | 0.99 | 0.076 | 3.51 | 0.004 |
AdaC2 | 0.633 | 0.9 | 0.92 | 0.96 | 0.98 | 0.99 | 0.99 | 0.076 | 2.73 | 0.005 |
AdaC3 | 0.594 | 0.881 | 0.94 | 0.824 | 0.824 | 0.775 | 0.91 | 0.33 | 2.1 | 0.004 |
DiffBoost | 0.931 | 0.931 | 0.931 | 0.931 | 0.931 | 0.931 | 0.931 | 0.392 | 1.35 | 0.003 |
AdaClassWeight | 0.92 | 0.92 | 0.92 | 0.92 | 0.92 | 0.92 | 0.92 | 0.403 | 0.74 | 0.003 |