Table 4 Misclassification Costs per primary screen dataset and mixed primary/confirmatory datasets
Dataset | Naive Bayes | SMO | Random Forest | J48 |
|---|---|---|---|---|
AID362 (70) | 40 | 150 | 3000 | 285 |
AID604 (281) | 40 | 250 | Out of memory | 650 |
AID456 (369) | 18 | 200 | 100000 | 1000 |
AID688 (109) | 34 | 78 | Out of memory | 220 |
AID373 (963) | 20 | 2000 | Out of memory | 3000 |
AID746 (162) | 25 | 100 | Out of memory | 450 |
AID687 (351) | 50 | 250 | Out of memory | 680 |
AID746&AID1284 (1048) | 100 | 1000 | Out of memory | 1900 |
AID604&AID644 (891) | 70 | 750 | Out of memory | 1500 |
AID373&AID439 (4599) | 70 | 9000 | Out of memory | 9500 |
AID687&AID721 (351) | 700 | 6702 | Out of memory | 1900 |