Other variables such as Dose, Temperature, S, and E provide lower-tier effects, and some features (A, B, E) show zero importance under certain boosting algorithms. All three algorithms converge on the conclusion that the Surface Area of the adsorbent and the Initial Concentration of PFAS in solution are critical factors shaping the distribution coefficient (Kd). Variables tied to surface chemistry (pHpzc) and PFAS properties (pKa, Log Kow, molecular weight) further refine predictions by capturing how electrostatics, hydrophobicity, and size modulate adsorption behavior.