Table 3.
Comparison among classification model based on the performance metric.
| ML model | Accuracy | KS | Avg. TP rate | Place |
|---|---|---|---|---|
| PART | 90.35 % | 88.92 % | 90.4 % | 4th |
| Decision table | 80.54 % | 77.5 % | 80.5 % | 10th |
| K-NN | 93.4 % | 92.4 % | 93.4 % | 2nd |
| K* Algorithm | 89.85 % | 88.37 % | 89.8 % | 6th |
| J48 | 90.19 % | 88.7 % | 90.2 % | 5th |
| Random forest | 94.42 % | 93.5 % | 94.4 % | 1st |
| JRIP | 87.14 % | 85.17 % | 87.1 % | 7th |
| Logit boost | 84.60 % | 82.37 % | 84.6 % | 8th |
| LMT | 92.22 % | 91.08 % | 92.2 % | 3rd |
| REPTree | 83.93 % | 81.5 % | 83.9 % | 9th |