A comparison of random forest regression and multiple linear regression for prediction in neuroscience

Journal of Neuroscience Methods

Volumn 220, Issue 1, 2013, Pages 85-91

  Smith, Paul F ^a   Ganesh, Siva ^c   Liu, Ping ^b  

^a UNIVERSITY OF OTAGO   (New Zealand)

^b UNIVERSITY OF OTAGO   (New Zealand)

^c AGRESEARCH GRASSLANDS   (New Zealand)

Author keywords

Cerebellum; L Arginine metabolism; Linear regression; Random forest regression; Regression; Regression trees; Vestibular nucleus

Indexed keywords

4 AMINOBUTYRIC ACID; AGMATINE; ARGININE; CITRULLINE; GLUTAMIC ACID; ORNITHINE; PUTRESCINE; SPERMIDINE; SPERMINE;

ANIMAL EXPERIMENT; ARTICLE; CEREBELLUM; COMPARATIVE STUDY; CONCENTRATION (PARAMETERS); MALE; MULTIPLE LINEAR REGRESSION ANALYSIS; NEUROCHEMISTRY; NEUROSCIENCE; NONHUMAN; PREDICTION; PREDICTIVE VALUE; PRIORITY JOURNAL; RANDOM FOREST; RANDOM FOREST REGRESSION; RAT; REGRESSION ANALYSIS; VESTIBULAR NUCLEUS;

CEREBELLUM; L-ARGININE METABOLISM; LINEAR REGRESSION; RANDOM FOREST REGRESSION; REGRESSION; REGRESSION TREES; VESTIBULAR NUCLEUS;

ANIMALS; BRAIN CHEMISTRY; CEREBELLUM; LINEAR MODELS; MALE; NEUROSCIENCES; RATS; RATS, SPRAGUE-DAWLEY; REGRESSION ANALYSIS;

EID: 84884567317     PISSN: 01650270     EISSN: 1872678X     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2013.08.024     Document Type: Article

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