The two cases above show that the GP model can predict the adsorption of adsorbates with the prescribed ending threshold regardless of the starting quality of the GP model. Albeit the efficacy (i.e., number of iterations) with which AL achieves the desired goal clearly differs across MOFs. In Figure , we show how the textural properties of MOFs (largest pore diameter (LPD), pore limiting diameter (PLD), void fraction (VF), surface area (SA), pore size standard deviation (PSSD) and the inverse framework density (IFD)) influence the number of AL iterations where MOFs with LPD values < 30 Å, PLD values < 20 Å, void fractions > 0.6, PSSD values < 7.5, and IFD values < 4 demanded more AL iterations.