Table 2 Performance of classification algorithms for the van 't Veer et al. breast cancer genomic data based on 20 repetitions of 10-fold CV
From: Classification methods for the development of genomic signatures from high-dimensional data
Algorithm | Accuracy | Sensitivity* | Specificity†| PPV‡ | NPV§ |
|---|---|---|---|---|---|
CERP | 62.3 (.023) | 50.9 (.037) | 71.1 (.026) | 57.7 (.029) | 65.2 (.020) |
RF | 62.5 (.019) | 46.8 (.032) | 74.7 (.032) | 58.9 (.029) | 64.5 (.014) |
AdaBoost | 58.8 (.041) | 32.1 (.089) | 79.4 (.069) | 55.0 (.094) | 60.3 (.028) |
SVM | 56.5 (.029) | 39.6 (.053) | 69.7 (.027) | 50.1 (.042) | 59.9 (.025) |
DLDA | 62.5 (.019) | 52.4 (.023) | 70.3 (.026) | 57.8 (.026) | 65.6 (.015) |
SC | 60.9 (.019) | 50.6 (.026) | 68.9 (.023) | 55.7 (.024) | 64.3 (.016) |
CART | 54.6 (.028) | 17.5 (.058) | 83.2 (.047) | 44.6 (.084) | 56.6 (.018) |
CRUISE | 55.1 (.048) | 21.5 (.100) | 81.0 (.059) | 45.6 (.112) | 57.3 (.034) |
QUEST | 56.5 (.044) | 22.8 (.080) | 82.6 (.077) | 51.0 (.117) | 58.1 (.027) |