The RF model classifies phases based on the predicted probability for each phase, where the phase with the highest probability is selected as the predicted outcome. The low maximum predicted probability indicates high uncertainty of the method, which can be used to control the predictive error. Figure (a) represents the maximum predicted probabilities for all test samples, overlaid on violin plots that illustrate the distribution of these probabilities. The plot reveals that the 2 misclassified samples in group D-9F have probabilities below 0.55, indicating low prediction confidence. Conversely, correctly classified samples generally display maximum probabilities exceeding 0.7, demonstrating a higher confidence level. This pattern suggests that inspecting a small subset of test samples with low maximum predicted probabilities could enhance the accuracy close to 100%, which will substantially reduce the manual review workload compared to examining all samples.