To improve the performance of QSAR model on small sample sets, a novel combinatorial model based on global kernel and local kernel was proposed in this paper. Firstly, descriptors were screened according to different kernel function. And then, SVR sub-model construction based on retained descriptors. The prediction results of sub- model and the experiment results assembled to be a mixed sample set. Kernels and descriptors optimization based on SVR was evaluated by the rule of minimum MSE value. The forecast was carried out through the leave-one-out method based on optimized kernel and sub-mode...
