To enhance the model's predictive accuracy, incorporating more detailed regional geological and geophysical data is crucial. By integrating data such as lithospheric thickness, rock type variations, and specific heat flow measurements, the model can capture more nuanced relationships between these factors and geothermal gradients. Detailed information on fault distribution, subsurface structures, and local geothermal anomalies can provide valuable insights into the thermal behavior of the region. Additionally, incorporating data on hydrothermal systems, seismic activity, and volcanic features can further refine the model's predictions. By expanding the dataset to include these detailed regional data points, the model can better capture the complex interplay of geological and geophysical factors influencing geothermal gradients.