Table 1.
AUC values for naïve Bayes (NB) and Random Forest (RF50) classifiers using four different sets of input features
Features | NB | RF50 |
---|---|---|
AAP | 0.67 | 0.72 |
CTD | 0.65 | 0.65 |
AAC | 0.66 | 0.71 |
DC | 0.63 | 0.72 |
AUC values for naïve Bayes (NB) and Random Forest (RF50) classifiers using four different sets of input features
Features | NB | RF50 |
---|---|---|
AAP | 0.67 | 0.72 |
CTD | 0.65 | 0.65 |
AAC | 0.66 | 0.71 |
DC | 0.63 | 0.72 |