Test set confusion matrix for the Refined CSD model. Performance of the final model evaluated on the held-out test set. The figure shows true and predicted label counts for both non-clear and clear-sky classes, along with key classification metrics: accuracy (97.3%), precision (88.6%), and recall (93.0%). This balance of high precision and recall highlights the model's robustness in identifying clear-sky conditions while limiting false positives.