Table 1: Evaluation of predictive models.
Validation Set 1 |
Validation Set 2 |
Validation Set 3 |
||||
ACC |
TPR |
ACC |
TPR |
ACC |
TPR |
|
SVC (rbf, bal.) |
71.21 |
75.28 |
70.89 |
75.48 |
72.67 |
73.93 |
SVC (poly, bal.) |
71.77 |
74.78 |
71.13 |
75.17 |
73.47 |
72.98 |
Nearest Neighbor (3) |
90.23 |
31.04 |
90.11 |
31.59 |
90.18 |
31.93 |
Random Forest (bal.) |
91.67 |
31.17 |
91.58 |
31.32 |
91.58 |
31.35 |
Random Forest |
91.79 |
32.80 |
91.58 |
32.21 |
91.67 |
32.58 |
AdaBoost (5) |
90.91 |
35.11 |
90.80 |
34.87 |
90.79 |
34.79 |
AdaBoost (15) |
91.97 |
44.15 |
91.78 |
43.50 |
91.86 |
43.67 |
AdaBoost (10) |
91.76 |
45.13 |
91.66 |
45.40 |
91.58 |
44.55 |
Decision Tree (bal.) |
90.79 |
53.96 |
90.65 |
53.71 |
90.54 |
53.93 |
Decision Tree |
90.87 |
56.39 |
90.82 |
56.68 |
90.71 |
55.97 |
Best model |
92.11 |
62.87 |
92.30 |
63.80 |
92.37 |
66.01 |