Skip to main content

Table 1 Description of the best models found by the WAAC algorithm

From: Simultaneous feature selection and parameter optimisation using an artificial ant colony: case study of melting point prediction

 

WAAC/PLS

WAAC/SVM

Number of descriptors

68

28

2D descriptors

petitjean, weinerPath, weinerPol, a_ICM, b_1rotR, chi0_C, chi1, reactive, a_heavy, a_nH, a_nF, a_nO, a_nS, VadjEq, VadjMa, balabanJ, PEOE_RPC+, PEOE_VSA+3, PEOE_VSA+4, PEOE_VSA+5, PEOE_VSA+6, PEOE_VSA-1, PEOE_VSA-4, PEOE_VSA_FPNEG, PEOE_VSA_PPOS, PC+, PC-, Q_PC+, Q_RPC+, Q_VSA_FHYD, Q_VSA_FNEG, Q_VSA_FPNEG, Q_VSA_FPOL, Q_VSA_FPOS, Q_VSA_FPPOS, Q_VSA_PNEG, Q_VSA_PPOS, Kier1, Kier3, KierA1, KierA2, apol, vsa_acc, SlogP_VSA3, SlogP_VSA5, SMR_VSA3, SMR_VSA5, TPSA

radius, weinerPol, b_1rotR, b_rotR, chi1v_c, a_nO, a_nP, balabanJ, PEOE_VSA+2, PEOE_VSA+3, PEOE_VSA-1, PEOE_VSA-5, PEOE_VSA-6, Q_RPC+, SlogP_VSA1, SlogP_VSA4, SlogP_VSA9, SMR_VSA2, SMR_VSA4, SMR_VSA6, TPSA

3D descriptors

AM1_dipole, AM1_Eele, E_sol, E_strain, E_tor, MNDO_HF, MNDO_dipole, MNDO_E, dipole, PM3_HF, ASA-, ASA_H, CASA-, FASA_H, FASA_P, VSA, glob, std_dim1, std_dim3, vol

E_oop, E_strain, E_vdw, PM3_LUMO, FASA_P, FCASA+, rgyr

Parameters

components = 49

Cost = 5, ε = 0.21