From: Addressing the Challenge of Defining Valid Proteomic Biomarkers and Classifiers
N train | SVM | Hierarchical Bayes | AdaBoost | Random Forest | Tree | GLM |
---|---|---|---|---|---|---|
7 | 44.7% | 32.8% | 43.2% | 40.2% | 48.1% | 41.1% |
20 | 40.2% | 30.6% | 40.2% | 35.8% | 43.2% | 42.5% |
33 | 32.0% | 26.1% | 23.1% | 34.3% | 38.1% | 38.5% |
67 | 16.4% | 21.6% | 14.1% | 17.1% | 26.0% | 46.7% |