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randomUniformForest (version 1.1.0)

Random Uniform Forests for Classification, Regression and Unsupervised Learning

Description

Ensemble model, for classification, regression and unsupervised learning, based on a forest of unpruned and randomized binary decision trees.

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Version

Install

install.packages('randomUniformForest')

Monthly Downloads

217

Version

1.1.0

License

BSD_3_clause + file LICENSE

Maintainer

Saip Ciss

Last Published

November 10th, 2014

Functions in randomUniformForest (1.1.0)

ConcreteCompressiveStrength

Concrete Compressive Strength Data Set

Bias-Variance-Covariance Decomposition

Auto MPG Data Set

clusteringObservations

Cluster observations of a (supervised) randomUniformForest object

fillNA2.randomUniformForest

Missing values imputation by randomUniformForest

Generic k-fold cross-validation

Common statistics for a vector of predictions and a vector of responses

getTree.randomUniformForest

Extract a tree from a forest

Training and validation samples from data

Change number of clusters (and clusters shape) on the flight

Breast Cancer Wisconsin (Original) Data Set

importance.randomUniformForest

Variables Importance for random Uniform Forests

rUniformForest.big

Random Uniform Forests for Classification and Regression with large data sets

internalFunctions

All internal functions

Plot a Random Uniform Decision Tree

partialImportance

Partial Importance for random Uniform Forests

Merge two arbitrary, but adjacent, clusters

partialDependenceBetweenPredictors

Partial Dependence between Predictors and effect over Response

predict.randomUniformForest

Predict method for random Uniform Forests objects

partialDependenceOverResponses

Partial Dependence Plots and Models

Car Evaluation Data Set

Conversion of an unsupervised model into a supervised one

Bootstrapped Prediction Intervals for Ensemble Models

rUniformForest.combine

Incremental learning for random Uniform Forests

Remove trees from a random Uniform Forest

randomUniformForest-package

Random Uniform Forests for Classification, Regression and Unsupervised Learning

postProcessingVotes

Post-processing for Regression

rUniformForest.grow

Add trees to a random Uniform Forest

randomUniformForest

Random Uniform Forests for Classification, Regression and Unsupervised Learning

ROC and precision-recall curves for random Uniform Forests

Simulation of Gaussian vector

unsupervised.randomUniformForest

Unsupervised Learning with Random Uniform Forests

Wine Quality Data Set