Skip to main content
. 2019 Sep 3;33(1):131–136. doi: 10.1007/s10278-019-00271-7

Table 3.

Performance measure for each of the machine learning models after optimal preprocessing and feature engineering

Accuracy (%) F1 score (%) Sensitivity (%) PPV (%) Specificity (%) NPV (%)
Naïve Bayes 74.5 38.1 67.1 26.6 75.5 94.6
Decision tree 86.2 45.8 50.0 42.2 90.9 93.2
Maximum entropy 81.2 38.7 50.7 31.3 85.3 93.0