Table 4.
Influence of the negative:positive training set ratio on the prediction accuracy
| Neg:pos testing ratio | |||||
| 1:1 | 1:1 | 100:1 | 100:1 | ||
| ROC50 AUC (std)a | ROC100 AUC (std)a | ROC50 AUC (std)a | ROC100 AUC (std)a | ||
| Neg:pos training ratio | 1:1 | 0.300 (0.008) | 0.385 (0.006) | 0.0645 (0.0019) | 0.0814 (0.0009) |
| 100:1 | 0.325 (0.004) | 0.403 (0.003) | 0.0747 (0.0022) | 0.0944 (0.0028) | |
a The ROCn AUCs are an average of five separate experiments (each of which is itself a five-fold cross validation experiment). Their standard deviation is shown in parenthesis.