Figure 1From: A semi-supervised boosting SVM for predicting hot spots at protein-protein InterfacesThe importance of all 68 features ( dataset 1). Feature importance generated by random forests. The top-10 features were picked out and various combinations were tested by 10-fold cross-validation to find the best feature subset for prediction of hot spots.Back to article page