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. 2016 Oct 21;5(1):1840. doi: 10.1186/s40064-016-3537-y

Table 6.

Classification models results with prediction performance

Algorithm Precision AUC Specificity Sensitivity Overall accuracy
Logistic regression 89.67 0.96 91.67 (0.9167) 96.7 (0.967) 95.1
Naïve bayes 100 0.99 97.5 (0.975) 100 (1) 99.29
Random forest 95 0.89 61.67 (0.6167) 99.09 (0.9909) 89.81