We used an ensemble method of classification and regression trees called randomForest developed by Breiman (2001) to identify importance of variables.
What does CART stand for?
CART stands for Classification And Regression Tree
This definition appears very frequently and is found in the following Acronym Finder categories:
- Science, medicine, engineering, etc.
See other definitions of CART
We have 128 other meanings of CART in our Acronym Attic
- Center for Applied Rehabilitation Technology
- Center for Autism Research and Treatment (UCLA)
- Center of Automotive Research and Technology (Karlsruhe, Germany)
- Central Automated Replenishment Technique
- Central Automatic Reliability Tester
- Centre d’Accès Radio et de Transit (French: Center Radio Access and Transit)
- Certified Anger Resolution Therapist
- Championship Auto Racing Teams
- Child Abduction Response Team
- Chimeric Antigen Receptor Technology
- Cleveland Area Rapid Transit (Norman, Oklahoma)
- Cloud and Radiation Testbed
- CMM (Capability Maturity Model) Application Rating Team
- Coalition for the Advancement of Regional Transportation
- Cocaine- and Amphetamine-Regulated Transcript
- Collection and Analysis Reporting Terminal
- Command Assessment of Readiness & Training
- Commander's Assessment of Readiness and Training (US Navy)
- Committee-Appointed Review Team
- Communication Access Real-time Translation (Speech Source, Inc. captioning system)
Samples in periodicals archive:
In this article, we report a comprehensive comparison of profile regression with logistic regression methods as well as with two non-model-based clustering methods, classification and regression tree (CART) and multifactor dimensionality reduction [(MDR) 2010)], described in detail below.
The Salford Predictive Modeling Suite includes the company's four data mining products: CART (Classification and Regression Trees), which analyses large and complex databases to generate classification and regression trees that quickly reveal important data patterns and relationships that could remain hidden using other analytical tools; TreeNet, a proprietary technology which enables users to create super-accurate, targeted marketing models and identify ultra-high lift segments with little analyst supervision; MARS (Multivariate Adaptive Regression Splines).
Hence, the data used to build the classification and regression tree is either in the form of binned data or nominal data.
Classification and regression tree analysis in public health: methodological review and comparison with logistic regression, Annals of Behavioral Medicine, 2003, 26(3): 172-181.
Recently, the United States Patent and Trademark Office issued a patent to Ciphergen, directed to finding protein patterns in mass spectrometry data using the classification and regression tree algorithm to identify diagnostic patterns of proteins derived from any type of mass spectrometry data.
Classification and regression trees (CART) analysis has been cited repeatedly as a powerful nonparametric approach in fields where classification or prediction are of concern.
It analyzes large and complex databases to generate classification and regression trees that quickly reveal important data patterns and relationships that could remain hidden using other analytical tools.