OTE v1.0.1

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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 (Khan, Z., Gul, A., Perperoglou, A., Miftahuddin, M., Mahmoud, O., Adler, W., & Lausen, B. (2019). (2019) <doi:10.1007/s11634-019-00364-9>) and class membership probability estimation (Khan, Z, Gul, A, Mahmoud, O, Miftahuddin, M, Perperoglou, A, Adler, W & Lausen, B (2016) <doi:10.1007/978-3-319-25226-1_34>) 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.

Functions in OTE

Name Description
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.
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Details

Type Package
Date 2020-04-18
License GPL (>= 3)
Encoding UTF-8
LazyData true
RoxygenNote 7.1.0
NeedsCompilation no
Packaged 2020-04-20 09:32:39 UTC; ZKHAN
Repository CRAN
Date/Publication 2020-04-20 10:50:07 UTC

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