Table 6.
Result table for Set 3 with four classifier algorithms Naïve Bayes, Random Forest, J48, and SMO
| 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% |
Random Forest showed the Best accuracy 85.15% with ROC Area 92.4%. It also has high True Positive (TP) rate with low False Positive.