A novel tree kernel support vector machine classifier for modeling the relationship between bioactivity and molecular descriptors

► TKSVM can select those important variables for classification by tree ensemble. ► TKSVM can evaluate informative features by variable importance ranking. ► TKSVM can deal with the nonlinear classification problems by decision tree. ► TKSVM is better or comparative compared with the RBF-SVM and L-SVM.