Description:
Regression model with 3 QuBiLS-MIDAS descriptors used for the prediction of the Percentage of Repellency, PR, (%) to trigger Aedes aegypti (Yellow Fever Mosquito) spatial repellency at the time of 180 min.

The training was performed with the Stacking algorithm as default in Weka 3.9.4 with 10-fold cross-validation by using Linear Regression algorithm as meta classifier and as classifiers: Gaussian Processes, SMOreg (both with Pearson Universal Kernel (PUK)), and Random Forest. The 3 QuBiLS-MIDAS descriptors are namely:

IB_K_Q_AB_nCi_2_M1_SS2_o_T_LGL[1-2]_r_MID
GV[1]_S_Q_AB_nCi_2_M13_NS1_o_C_KA_r_MID
Q2_F_AB_nCi_2_M14_SS8_T_KA_e_MID

Training set:
14 compounds extracted from 10.1021/jf900964e

Performance:
For a 10-fold cross-validation, the statistical parameters (performance without applicability domain) are R = 0.9538, MAE = 3.6367, RMSE = 4.8649, RAE = 29.5488 %, and RRSE = 32.8187 %.

Classification Breakpoint:
The breakpoint is 90 %. Values greater than or equal to the breakpoint will elicit a repellent response in Blatella germanica and Periplaneta americana cockroaches. Lower values represent certain actions occurring, however, these are not enough to activate a repellent reaction.

Reference:
Paluch, G.; Grodnitzky, J.; Bartholomay, L.; Coats, J. Quantitative Structure-Activity Relationship of Botanical Sesquiterpenes: Spatial and Contact Repellency to the Yellow Fever Mosquito, Aedes Aegypti. J. Agric. Food Chem. 2009, 57 (16), 7618–7625. DOI: 10.1021/jf900964e