Research Article
Application of Boosting Regression Trees to Preliminary Cost Estimation in Building Construction Projects
Table 2
Summary of results by estimation model.
| Error rate (%) | NN | BRT | Fre. (%) | Cum. (%) | Fre. (%) | Cum. (%) |
| 0.0–2.5 | 3 (10.0) | 3 (10.0) | 6 (20.0) | 6 (20.0) | 2.5–5.0 | 11 (36.7) | 14 (46.7) | 10 (33.3) | 16 (53.3) | 5.0–7.5 | 6 (20.0) | 20 (66.7) | 6 (20.0) | 22 (73.3) | 7.5–10.0 | 8 (26.7) | 28 (93.3) | 2 (6.7) | 24 (80.0) | 10.0–12.5 | 1 (3.3) | 29 (96.7) | 3 (10.0) | 27 (90.0) | 12.5–15.0 | 1 (3.3) | 30 (100) | 2 (6.7) | 29 (96.7) | 15.0–17.5 | 0 (0) | 30 (100) | 1 (3.3) | 30 (100) |
| MAERs | 6.05 | — | 5.80 | — |
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