# Prediction Model for Compaction Quality of Earth-Rock Dams Based on IFA-RF Model
## 3 Results
### Quantitative Results of Uncertainty in Parameters  
Based on information entropy theory and following the steps outlined in Section 3.1 for entropy calculation, the uncertainty of the _P5_ content was quantified using 106 data points as an example. The result, as shown in Table 3, reveals that the entropy value for _P5_ content is 0.8766. The final entropy values for the material source parameters are presented in Table 4. From the table, it can be seen that all material source parameters have entropy values greater than 0.5, indicating considerable uncertainty in these parameters. Among them, the uncertainty of the _P5_ content and moisture content is notably higher than that of the curvature coefficient and the uniformity coefficient. The geological variability of the material source parameters primarily stems from two aspects. On the one hand, it arises from the variability of uncontrollable factors, such as the inability to precisely control the moisture content, which leads to significant spatial variability in the moisture content of dam materials across the entire slab. On the other hand, it results from the randomness of the material source parameters, which is introduced by the limited number of test pit experiments used to obtain these parameters, thereby causing inherent randomness. The entropy values for the compaction parameters are shown in Table 4. It can be observed that the entropy values for compaction thickness, static compaction cycles, and total cycles are all greater than 0.5, although relatively small, indicating a certain level of uncertainty in these parameters. Among them, the uncertainty for static compaction cycles is lower than 0.5, suggesting that the static compaction cycles are well controlled within the specified range. The entropy values for the meteorological parameters are presented in Table 4. It can be observed that the entropy values for all meteorological parameters exceed 0.5, indicating significant uncertainty. The uncertainty of the meteorological parameters is notably higher than that of the material source parameters. This is because meteorological data exhibit large variations throughout the day, resulting in greater uncertainty.  
The aforementioned study reveals that the influencing parameters exhibit uncertainty. Specifically, the probability distribution function of the material source parameters was obtained through statistical analysis of historical material source data. Based on this probability distribution function, the material source parameters at unmeasured points on the slab were randomly simulated using simulation software. Finally, the dry density evaluation results for the entire slab, obtained through the IFA-RF method, demonstrated a certain degree of randomness. This randomness inevitably introduces random errors into the compaction quality evaluation results, and the magnitude of these errors determines the accuracy of the evaluation. Therefore, by conducting 100 random simulations and selecting evaluation results with a confidence level above 95% as the final evaluation values, the results are more closely aligned with actual conditions, ensuring the data's research value.