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Table 8 Comparison of classification technique

From: Analysis of diabetes mellitus for early prediction using optimal features selection

No. Algorithm Sensitivity % Specificity % Positive likelihood ratio Negative likelihood ratio Disease prevalence % Positive predictive value % Negative predictive value % Accuracy %
1 SVM 57.09 88.80 5.10 0.48 34.90 73.21 79.43 77.73
2 Random forest 33.21 98.00 16.60 0.68 34.90 89.90 73.24 75.39
3 NB 61.25 80.00 3.06 0.48 34.78 62.03 79.47 73.48
4 Decision tree 26.49 98.20 14.72 0.75 34.90 88.75 71.37 73.18
5 KNN 46.25 72.00 1.65 0.75 34.78 46.84 71.52 63.04