Fig. 6: Random Forest architecture. | npj Heritage Science

Fig. 6: Random Forest architecture.

From: Integrating deep learning and machine learning for ceramic artifact classification and market value prediction

Fig. 6

This figure visualizes the full workflow of the Random Forest classification model used to predict ceramic price categories. The model integrates visual-semantic features extracted from improved YOLO 11 with historical market data, structured into a supervised ensemble learning framework. The entire figure was originally created by the authors.

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