To evaluate and demonstrate the potential performance of OptiDots_v1.0, we implemented a range of data preprocessing techniques, including: Numerical variables were normalized and standardized to ensure consistent scaling, which is critical for accurate analysis and model performance. Outliers were identified and removed to reduce noise and improve the robustness of the dataset. This step was complemented by thorough data analysis to ensure data quality and reliability.