Random forest methodology for model-based recursive partitioning: The mobForest package for R

BMC Bioinformatics

Volumn 14, Issue , 2013, Pages

  Garge, Nikhil R ^a   Bobashev, Georgiy ^a   Eggleston, Barry ^a  

^a RTI INTERNATIONAL   (United States)

Author keywords

Ensemble; Model based recursive partitioning; R; Random forests

Indexed keywords

ENSEMBLE; NON-PARAMETRIC MODELING; PREDICTIVE ACCURACY; R; RANDOM FORESTS; RECURSIVE PARTITION; RECURSIVE PARTITIONING; VARIABLE IMPORTANCES;

DECISION TREES; FORECASTING; FORESTRY;

REGRESSION ANALYSIS;

DECISION MAKING; FORECASTS; FORESTRY; REGRESSION ANALYSIS; TREES;

ALGORITHM; ARTICLE; COMPUTER PROGRAM; NONPARAMETRIC TEST; STATISTICAL MODEL;

ALGORITHMS; MODELS, STATISTICAL; SOFTWARE; STATISTICS, NONPARAMETRIC;

EID: 84875913695     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-14-125     Document Type: Article

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