Research Article
Prediction of Bridge Component Ratings Using Ordinal Logistic Regression Model
Table 7
Model comparison statistics with 2014 data.
| Model Statistics | Multiple Linear Regression | Ordinal Regression | Deck | Superstructure | Substructure | Deck | Superstructure | Substructure |
| Sample Size | 2281 | 2906 | 2906 | 2281 | 2906 | 2906 |
| Sum of Absolute Residuals | 1550 | 1793 | 2247 | 1350 | 1441 | 2129 |
| Sum of Residual Squares | 2350 | 2493 | 3841 | 1832 | 1823 | 3417 |
| Bias | 1.087 | 1.079 | 1.105 | 1.025 | 1.022 | 1.053 |
| Accuracy | 1.115 | 1.098 | 1.156 | 1.101 | 1.080 | 1.151 |
| Out-of-range Forecasts | 0% | 0% | 0.1% | 0% | 0% | 0% |
| Percent Exact Forecasts | 46% | 48% | 43% | 50% | 56% | 44 % |
| Percent Estimation within 1 Rating Difference | 86% | 91% | 84% | 93% | 95% | 87% |
| Percent Estimation within 2 Rating Differences | 96% | 98% | 94% | 100% | 99% | 97% |
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