- regression tree
-
a) A data-analysis method that recursively partitions data into sets each of which are simply modeled using regression methods.b) A classification and regression tree.
Wikipedia foundation.
Wikipedia foundation.
Regression Tree — Entscheidungsbäume sind eine spezielle Darstellungsform von Entscheidungsregeln. Sie veranschaulichen aufeinanderfolgende, hierarchische Entscheidungen. Sie haben eine Bedeutung in der Stochastik zur Veranschaulichung bedingter… … Deutsch Wikipedia
tree — 1. noun /tɹiː,tʃɹiː/ a) A large plant, not exactly defined, but typically over four meters in height, a single trunk which grows in girth with age and branches (which also grow in circumference with age). is the tallest living tree in the world.… … Wiktionary
Tree allometry — Tree AllometryDefined as the growth or size of some part of a tree in relation to the growth or size of different parts of a tree.The study of allometry is extremely important in dealing with measurements and data analysis in the practice of… … Wikipedia
Decision tree learning — This article is about decision trees in machine learning. For the use of the term in decision analysis, see Decision tree. Decision tree learning, used in statistics, data mining and machine learning, uses a decision tree as a predictive model… … Wikipedia
Unit-weighted regression — In statistics, unit weighted regression is perhaps the easiest form of multiple regression analysis, a method in which two or more variables are used to predict the value of an outcome. At a conceptual level, the example of weight loss can… … Wikipedia
Nonparametric regression — is a form of regression analysis in which the predictor does not take a predetermined form but is constructed according to information derived from the data. Nonparametric regression requires larger sample sizes than regression based on… … Wikipedia
Poisson regression — In statistics, Poisson regression is a form of regression analysis used to model count data and contingency tables. Poisson regression assumes the response variable Y has a Poisson distribution, and assumes the logarithm of its expected value can … Wikipedia
Logistic Model Tree — LMT (Logistic Model Tree) is an algorithm for supervised learning tasks which is combined with linear logistic regression and tree induction. [Niels Landwehr, Mark Hall, and Eibe Frank, [http://www.cs.waikato.ac.nz/ ml/publications/2003/landwehr… … Wikipedia
S (язык программирования)/Temp — Это временная версия статьи S (язык программирования). После внесения в неё правок нужно объединить эту статью со статьёй S (язык программирования) и заменить её содержимое шаблоном {{db}}. Если статья не подходит под формат Википедии, то её… … Википедия
S (язык программирования) — Эту статью следует викифицировать. Пожалуйста, оформите её согласно правилам оформления статей. У этого термина существуют и другие значения, см. S. S язы … Википедия