# Decision Forest

## Documentation for package ‘Dforest’ version 0.4.2

- DESCRIPTION file
- Code demos. Use demo() to run them.

## Help Pages

cal_MCC | Performance evaluation from other modeling algorithm Result
Con_DT | Construct Decision Tree model with pruning
data_dili | QSAR dataset with DILI endpoint for demo
Dforest | Demo script to lean Decision Forest package Demo data are located in data/ folder
DF_acc | Performance evaluation from Decision Tree Predictions
DF_calp | T-test for feature selection
DF_ConfPlot | Decision Forest algorithm: confidence level accumulated plot
DF_ConfPlot_accu | Decision Forest algorithm: confidence level accumulated plot (accumulated version)
DF_CV | Decision Forest algorithm: Model training with Cross-validation
DF_CVsummary | output summary for Dforest Cross-validation results
DF_dataFs | Decision Forest algorithm: Feature Selection in pre-processing
DF_dataPre | Decision Forest algorithm: Data pre-processing
DF_easy | Simple pre-defined pipeline for Decision forest
DF_perf | performance evaluation between two factors
DF_pred | Decision Forest algorithm: Model prediction
DF_train | Decision Forest algorithm: Model training
DF_Trainsummary | output summary for Dforest test results
multiplot | multiplot
Pred_DT | Doing Prediction with Decision Tree model