High-Dimensional descriptor selection and computational QSAR modeling for antitumor activity of ARC-111 analogues Based on Support Vector Regression (SVR).

The results showed the nonlinear regression of the SVR3 model ( R 2 = 0.947) was highly significant because its F value (21.017) was greater than F 0.01 (7, 10) value, and the nonlinear regression of the SVR4 model ( R 2 = 0.947) was significant because its F value (7.310) was greater than F 0.05 (11, 6) value.

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