DF_ConfPlot

Pred_result

Label

How many bins occurred in Conf Plot (Default is 20)

Draw Plot if True, otherwise output the datamatrix

plot

if TRUE, Fit the performance curve with smooth function (by ggplot2)

smooth

Draw accuracy curve according to the confidence level of predictions

Provides R-implementation of Decision forest algorithm, which combines the predictions of
multiple independent decision tree models for a consensus decision. In particular, Decision Forest is a novel
pattern-recognition method which can be used to analyze: (1) DNA microarray data;
(2) Surface-Enhanced Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (SELDI-TOF-MS) data; and
(3) Structure-Activity Relation (SAR) data.
In this package, three fundamental functions are provided, as (1)DF_train, (2)DF_pred, and (3)DF_CV.
run Dforest() to see more instructions.
Weida Tong (2003) <doi:10.1021/ci020058s>.

DF_ConfPlot: Decision Forest algorithm: confidence level accumulated plot

Description

Usage

Arguments

Value