| Name | Algorithm | Misclassification | Adjusted R2 | Lift | ASE | KS | Observations | Status | ||
|---|---|---|---|---|---|---|---|---|---|---|
| Model 1 | Gradient Boosting | .1529 | .5 | 1.8 | .1452 | .1562 | 860 | Complete | ||
| Model 2 | Ensemble | .1269 | .5 | 1.6 | .1352 | .1382 | 804 | Complete | ||
| Model 4 | Regression | .1785 | .6 | 1.8 | .1234 | .1352 | 842 | Complete | ||
| Model 3 | Neural Network | .1632 | .8 | 1.7 | .1248 | .1185 | 789 | Complete | ||
| Model 6 | GLM | .1476 | .7 | 1.6 | .1230 | .1352 | 800 | Flagged | ||
| Model 5 | Decision Tree | .1995 | .6 | 1.3 | .1184 | .1142 | 825 | Error | ||
| Model 7 | SVM | .1236 | .2 | 1.5 | .1288 | .1352 | 780 | Complete | ||
| Model 8 | Bayesian Network Classifier | .1236 | .4 | 1.5 | .1244 | .1352 | 780 | Complete | ||
| Model 9 | Random Forest | .1456 | .3 | 1.2 | .1344 | .1258 | 780 | Complete |