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. 2017 Mar 24;2017:bax017. doi: 10.1093/database/bax017

Table 2.

Classification evaluation measures for our classifiers on the GXD dataset using different cross-validation settings

Classifiers Precision Recall F-measure Accuracy Utility-10 Utility-20
NB5 0.892 (0.005) 0.957 (0.003) 0.923 (0.003) 0.917 (0.004) 0.876 (0.006) 0.881 (0.005)
RF5 0.908 (0.006) 0.921 (0.005) 0.915 (0.004) 0.912 (0.005) 0.895 (0.007) 0.899 (0.007)
NB10 0.891 (0.007) 0.957 (0.006) 0.923 (0.004) 0.917 (0.005) 0.875 (0.008) 0.881 (0.008)
RF10 0.908 (0.008) 0.922 (0.008) 0.915 (0.006) 0.912 (0.007) 0.894 (0.009) 0.899 (0.009)
RF-H-and-H 0.905 0.925 0.915 0.913 0.896 0.900

NB denotes Naïve Bayes classifier; RF denotes Random Forest classifier. The suffix 5 indicates using 5 complete runs of 5-fold cross validation; the suffix 10 indicates using 10 complete runs of 10-fold cross validation. H-and-H represents using half of the GXD dataset for training and the other half for testing.