| dbo:abstract
|
- El particionamiento recursivo es una técnica estadística de análisis multivariante. Su objetivo es el de construir árboles de decisión que modelen la influencia de una serie de variables explicativas sobre la variable objetivo de un estudio estadístico. En función de la naturaleza, discreta o continua, de la variable objetivo, los árboles construidos suelen denominarse árboles de o de . Los modelos construidos con dicha técnica rivalizan con otros más tradicionales de la estadística —por ejemplo, regresiones logísticas— o de la inteligencia artificial, como los basados en redes neuronales. (es)
- Recursive partitioning is a statistical method for multivariable analysis. Recursive partitioning creates a decision tree that strives to correctly classify members of the population by splitting it into sub-populations based on several dichotomous independent variables. The process is termed recursive because each sub-population may in turn be split an indefinite number of times until the splitting process terminates after a particular stopping criterion is reached. Recursive partitioning methods have been developed since the 1980s. Well known methods of recursive partitioning include Ross Quinlan's ID3 algorithm and its successors, C4.5 and C5.0 and Classification and Regression Trees (CART). Ensemble learning methods such as Random Forests help to overcome a common criticism of these methods – their vulnerability to overfitting of the data – by employing different algorithms and combining their output in some way. This article focuses on recursive partitioning for medical diagnostic tests,but the technique has far wider applications.See decision tree. As compared to regression analysis, which creates a formula that health care providers can use to calculate the probability that a patient has a disease, recursive partition creates a rule such as 'If a patient has finding x, y, or z they probably have disease q'. A variation is 'Cox linear recursive partitioning'. (en)
|
| dbo:thumbnail
| |
| dbo:wikiPageID
| |
| dbo:wikiPageLength
|
- 6566 (xsd:nonNegativeInteger)
|
| dbo:wikiPageRevisionID
| |
| dbo:wikiPageWikiLink
| |
| dbp:wikiPageUsesTemplate
| |
| dcterms:subject
| |
| gold:hypernym
| |
| rdf:type
| |
| rdfs:comment
|
- El particionamiento recursivo es una técnica estadística de análisis multivariante. Su objetivo es el de construir árboles de decisión que modelen la influencia de una serie de variables explicativas sobre la variable objetivo de un estudio estadístico. En función de la naturaleza, discreta o continua, de la variable objetivo, los árboles construidos suelen denominarse árboles de o de . Los modelos construidos con dicha técnica rivalizan con otros más tradicionales de la estadística —por ejemplo, regresiones logísticas— o de la inteligencia artificial, como los basados en redes neuronales. (es)
- Recursive partitioning is a statistical method for multivariable analysis. Recursive partitioning creates a decision tree that strives to correctly classify members of the population by splitting it into sub-populations based on several dichotomous independent variables. The process is termed recursive because each sub-population may in turn be split an indefinite number of times until the splitting process terminates after a particular stopping criterion is reached. A variation is 'Cox linear recursive partitioning'. (en)
|
| rdfs:label
|
- Particionamiento recursivo (es)
- Recursive partitioning (en)
|
| owl:sameAs
| |
| prov:wasDerivedFrom
| |
| foaf:depiction
| |
| foaf:isPrimaryTopicOf
| |
| is dbo:wikiPageRedirects
of | |
| is dbo:wikiPageWikiLink
of | |
| is foaf:primaryTopic
of | |
