A key outcome of this work is the identification of a core set of MOFs that are repeatedly selected across multiple methods. These MOFs represent critical regions of the structural-property space for methane adsorption. By focusing on this consensus set, future studies can build more accurate and generalizable predictive models with minimal data requirements. To validate the predictive capability of the selected MOFs, GP models are trained on the consensus set, and their performance is evaluated across a range of methane adsorption pressures, demonstrating the effectiveness of this approach.