From: Breast cancer prognosis by combinatorial analysis of gene expression data
Method | Support set of 231 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 | 72.24 | 73.68 | 73.96 |
Support vector machines (linear kernel) | 100.00 | 72.79 | 73.68 | 74.88 |
Logistic regression | 100.00 | 71.21 | 73.68 | 75.63 |
Nearest neighbors | 100.00 | 72.94 | 78.94 | 77.15 |
Decision trees (C4.5) | 97.44 | 60.70 | 73.68 | 66.64 |
95% CI | 98.48–100.00 | 65.39–74.56 | 72.67–76.79 | 70.07–77.24 |