Table 3 Performance of classification algorithms for the van 't Veer et al. breast cancer genomic and clinical/histopathological data based on 20 trials of 10-fold CV
From: Classification methods for the development of genomic signatures from high-dimensional data
Algorithm | Accuracy | Sensitivity* | Specificity†| PPV‡ | NPV§ |
|---|---|---|---|---|---|
CERP | 63.3 (.024) | 52.5 (.042) | 71.6 (.027) | 58.8 (.031) | 66.1 (.022) |
RF | 63.0 (.023) | 48.2 (.034) | 74.4 (.034) | 59.4 (.034) | 65.1 (.016) |
AdaBoost | 61.9 (.045) | 38.7 (.090) | 79.8 (.065) | 59.9 (.085) | 62.8 (.034) |
SVM | 57.4 (.027) | 40.3 (.044) | 70.7 (.037) | 51.5 (.040) | 60.5 (.021) |
DLDA | 62.9 (.017) | 52.6 (.025) | 70.9 (.027) | 58.4 (.023) | 66.0 (.013) |
SC | 62.2 (.018) | 53.8 (.025) | 68.8 (.018) | 57.1 (.022) | 65.8 (.016) |
CART | 54.7 (.031) | 21.6 (.096) | 80.3 (.063) | 44.3 (.103) | 57.2 (.022) |
CRUISE | 57.5 (.047) | 24.0 (.100) | 83.4 (.063) | 51.9 (.120) | 58.8 (.032) |
QUEST | 56.3 (.036) | 21.8 (.062) | 83.1 (.071) | 50.7 (.082) | 57.8 (.021) |