Table 6 Result table for Set 3 with four classifier algorithms Naïve Bayes, Random Forest, J48, and SMO
From: In-silico predictive mutagenicity model generation using supervised learning approaches
Classifiers | TP% | FP% | TN% | FN% | Accuracy% | Precision % | Recall% | ROC |
|---|---|---|---|---|---|---|---|---|
Naïve Bayes | 66.3 | 28.2 | 71.8 | 33.7 | 68.84 | 69.3 | 68.8 | 75.8% |
Random Forest | 86.7 | 16.6 | 83.4 | 13.3 | 85.15 | 85.2 | 85.2 | 92.4% |
J48 | 83.1 | 26 | 74 | 16.9 | 78.85 | 78.9 | 78.9 | 80.7% |
SMO | 76.6 | 34.4 | 65.6 | 29.3 | 71.4 | 71.5 | 71.5 | 78.5% |