DF_acc

pred

label

<p>Performance evaluation from Decision Tree Predictions</p>

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>.

Leihong Wu

DF_acc: Performance evaluation from Decision Tree Predictions

Description

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