Hybrid Evolutionary Approach to Decision Trees Ensembles Design
Table 1: Results of classification problems solving
| Task number | Method presented the best classification accuracy | Classification accuracy | |
| Standard composition | EGP | ||
| Task 1 | RF+DE | 0.768 | 0.788 |
| Task 2 | RF+DE | 0.863 | 0.893 |
| Task 3 | - | 1 | 1 |
| Task 4 | RF+GP | 0.811 | 0.771 |
| Task 5 | GBoost RapidMiner | 0.978 | 0.884 |
| Task 6 | RF+GP | 0.877 | 0.852 |
| Task 7 | RF+DE | 0.902 | 0.922 |
| Task 8 | RF+DE | 0.845 | 0.875 |