From: Breast cancer prognosis by combinatorial analysis of gene expression data
Method | Support set of 70 genes (van 't Veer [33]) | |||
---|---|---|---|---|
 | Training set (78 cases) | Test set (19 cases) | Entire dataset (78+19 cases) | |
 | Direct classification (%) | Cross-validation (%) | Direct classification (%) | Cross-validation (%) |
Artificial neural networks (1 hidden layer) | 100.00 | 80.16 | 42.11 | 71.65 |
Support vector machines (linear kernel) | 96.15 | 82.01 | 57.90 | 77.03 |
Logistic regression | 100.00 | 73.52 | 47.37 | 73.79 |
Nearest neighbors | 100.00 | 71.58 | 63.16 | 71.77 |
Decision trees (C4.5) | 96.15 | 60.49 | 42.11 | 61.89 |
95% CI | 96.61–100 | 66.09–81.01 | 42.15–58.91 | 66.27–76.18 |