Melt　electrospinning　writing　(MEW)　has　proven　its　potential　to　direct-write　complex　and　multiscaled　architectures　and　structures,　which　are　widely　used　in　the　biomedical　fields　such　as　3D　printing　of　porous　scaffolds.　For　the　resolution　of　the　microstructure　is　characterized　by　the　diameter　of　the　melt　electrospun　fiber,　uniform　spinning　fiber　with　predictable　diameter　is　of　great　significance　for　precise　fabrication　of　the　microstructure.　In　this　paper,　the　Kriging　model　was　introduced　to　explore　the　scaling　laws　of　the　fiber　diameter　to　several　processing　parameters　(including　temperature,　tip-to-collector　distance,　flow　rate,　and　collector　speed).　The　Latin　hypercube　sampling　was　adopted　for　experiment　design.　The　prediction　results　of　the　Kriging　model　were　cross-validated　with　the　response　surface　model　to　compare　the　prediction　accuracy　of　the　two　methods.　The　root-mean-square　error,　maximum　absolute　error,　and　mean　absolute　percentage　error　of　the　Kriging　model　(0.49%,　0.73%,　and　3.52%,　respectively)　are　all　lower　than　the　response　surface　model　(0.81%,　1.25%,　and　4.74%,　respectively),　indicating　that　the　prediction　accuracy　of　the　Kriging　model　is　superior　to　the　response　surface　model.　The　present　paper　provides　a　new　idea　for　the　modeling　of　the　complex　nonlinear　system　of　MEW.　Moreover,　the　implementation　of　the　Kriging　model　minimizes　the　number　of　experimental　trials　required　from　31　to　27,　resulting　in　the　reduction　of　the　fabrication　time　and　materials　wastage.