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. 2016 Sep;45(9):1179–1187.

Table 2:

Comparison of classification techniques

Model Training Sample Testing Sample
LR DT ANN SVM LR DT ANN SVM
Sensitivity 0.72 0.88 0.74 0.85 0.73 0.85 0.75 0.53
Specificity 0.63 0.46 0.60 0.67 0.65 0.46 0.60 0.68
Positive predictive value 0.15 0.13 0.14 0.19 0.16 0.13 0.15 0.14
Negative predictive value 0.96 0.97 0.96 0.98 0.96 0.97 0.96 0.94
Accuracy 0.64 0.50 0.62 0.68 0.65 0.49 0.62 0.67

LR: logistic regression, DT: decision tree, ANN: artificial neural network, SVM: support vector machine