Skip to main content

Advertisement

Table 5 10-fold cross-validation performance results of five classifiers

From: Classification of breast cancer patients using somatic mutation profiles and machine learning approaches

Classifier Accuracy TPR FPR TNR FNR F measure
Random forest 70.86 0.58 0.19 0.81 0.42 0.59
Support vector machine 69.16 0.49 0.16 0.84 0.51 0.53
J48 (C4.5) 60.11 0.47 0.26 0.74 0.53 0.47
Naïve Bayes 57.24 0.45 0.29 0.71 0.55 0.44
k-Nearest Neighbors 49.17 0.25 0.16 0.84 0.75 0.31