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OTE (version 1.0)

Optimal Trees Ensembles for Regression, Classification and Class Membership Probability Estimation

Description

Functions for creating ensembles of optimal trees for regression, classification and class membership probability estimation are given. A few trees are selected from an initial set of trees grown by random forest for the ensemble on the basis of their individual and collective performance. Trees are assessed on out-of-bag data and on an independent training data set for individual and collective performance respectively. The prediction functions return estimates of the test responses and their class membership probabilities. Unexplained variations, error rates, confusion matrix, Brier scores, etc. are also returned for the test data.

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Version

Install

install.packages('OTE')

Monthly Downloads

156

Version

1.0

License

GPL (>= 2)

Maintainer

Zardad Khan

Last Published

July 31st, 2015

Functions in OTE (1.0)

Galaxy

Radial Velocity of Galaxy NGC7531
Predict.OTProb

Prediction function for the object returned by OTProb
OTClass

Train the ensemble of optimal trees for classification.
OTProb

Train the ensemble of optimal trees for class member ship probability estimation.
Predict.OTClass

Prediction function for the object returned by OTClass
Body

Exploring Relationships in Body Dimensions
Predict.OTReg

Prediction function for the object returned by OTReg
OTReg

Train the ensemble of optimal trees for regression.
OTE

Optimal Trees Ensembles for Regression, Classification and Class Membership Probability Estimation