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OTE (version 1.0.1)

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

Description

Functions for creating ensembles of optimal trees for regression, classification (Khan, Z., Gul, A., Perperoglou, A., Miftahuddin, M., Mahmoud, O., Adler, W., & Lausen, B. (2019). (2019) ) and class membership probability estimation (Khan, Z, Gul, A, Mahmoud, O, Miftahuddin, M, Perperoglou, A, Adler, W & Lausen, B (2016) ) 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. Three different methods of tree selection for the case of classification are given. 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

147

Version

1.0.1

License

GPL (>= 3)

Maintainer

Last Published

April 20th, 2020

Functions in OTE (1.0.1)

Galaxy

Radial Velocity of Galaxy NGC7531
Body

Exploring Relationships in Body Dimensions
Predict.OTClass

Prediction function for the object returned by OTClass
OTReg

Train the ensemble of optimal trees for regression.
Predict.OTReg

Prediction function for the object returned by OTReg
OTProb

Train the ensemble of optimal trees for class membership probability estimation.
Predict.OTProb

Prediction function for the object returned by OTProb
OTE-package

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

Train the ensemble of optimal trees for classification.