Introduction | Data | Workflow | Network structure | Learning | Analyzing | Network parameters | Interface to bnlearn, gRain, and graph | Selecting features | External feature selection | Evaluating | Network scores | Predictive accuracy | More | Predicting | Miscellaneous | Complementing bnclassify with mlr | Wrapper feature selection | Comparing to random forest | References