In this competition, the evaluation metric is the **accuracy score**, which measures the proportion of correct predictions made by the model compared to the total predictions. This metric is useful for assessing the model's performance in accurately predicting the percentage of iron in the final product, with higher accuracy indicating better predictive capability..