Decision Forest

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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