Table 5 Result table for Set 2 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 | 70.9 | 45.5 | 54.5 | 29.1 | 63.28 | 64.4 | 70.85 | 69.60% |
Random Forest | 80.6 | 22.4 | 17.6 | 19.4 | 79.18 | 79.2 | 79.2 | 87.4% |
J48 | 74.3 | 27.1 | 72.9 | 25.7 | 73.65 | 74.0 | 74.28 | 77% |
SMO | 69.9 | 37.5 | 62.5 | 30.1 | 66.43 | 68.4 | 69.85 | 78.10% |