Table 13 Weighted accuracies of various models constructed on the support set identified by LAD
From: Breast cancer prognosis by combinatorial analysis of gene expression data
Method | Support set of 17 genes (LAD) | |||
|---|---|---|---|---|
| Â | Training set (78 cases) | Test set (19 cases) | Entire dataset (78 + 19 cases) | |
| Â | Direct classification (%) | Cross-validation (%) | Direct classification (%) | Cross-validation (%) |
Artificial neural networks (1 hidden layer) | 100.00 | 76.55 | 84.21 | 78.65 |
Support vector machines (linear kernel) | 87.18 | 76.43 | 63.16 | 77.27 |
Logistic regression | 94.87 | 76.87 | 73.68 | 77.95 |
Nearest neighbors | 100.00 | 80.55 | 63.16 | 76.34 |
Decision trees (C4.5) | 96.15 | 67.48 | 57.90 | 67.01 |
95% CI | 91.03–100 | 71.33–79.82 | 59.20–77.65 | 71.25–79.64 |