OTE v1.0

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

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.

Functions in OTE

Name Description
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
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Details

Type Package
Date 2015-07-31
LazyLoad yes
License GPL (>= 2)
NeedsCompilation no
Packaged 2015-07-31 03:01:16 UTC; Khan
Repository CRAN
Date/Publication 2015-07-31 05:26:54

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