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- Logistic_model_tree abstract "In computer science, a logistic model tree (LMT) is a classification model with an associated supervised training algorithm that combines logistic regression (LR) and decision tree learning.Logistic model trees are based on the earlier idea of a model tree: a decision tree that has linear regression models at its leaves to provide a piecewise linear regression model (where ordinary decision trees with constants at their leaves would produce a piecewise constant model). In the logistic variant, the LogitBoost algorithm is used to produce an LR model at every node in the tree; the node is then split using the C4.5 criterion. Each LogitBoost invocation is warm-started from its results in the parent node. Finally, the tree is pruned.The basic LMT induction algorithm uses cross-validation to find a number of LogitBoost iterations that does not overfit the training data. A faster version has been proposed that uses the Akaike information criterion to control LogitBoost stopping.".
- Logistic_model_tree wikiPageID "12114107".
- Logistic_model_tree wikiPageLength "2216".
- Logistic_model_tree wikiPageOutDegree "15".
- Logistic_model_tree wikiPageRevisionID "678408425".
- Logistic_model_tree wikiPageWikiLink Akaike_information_criterion.
- Logistic_model_tree wikiPageWikiLink Algorithm.
- Logistic_model_tree wikiPageWikiLink C4.5_algorithm.
- Logistic_model_tree wikiPageWikiLink Category:Decision_trees.
- Logistic_model_tree wikiPageWikiLink Computer_science.
- Logistic_model_tree wikiPageWikiLink Cross-validation_(statistics).
- Logistic_model_tree wikiPageWikiLink Decision_tree_learning.
- Logistic_model_tree wikiPageWikiLink Linear_regression.
- Logistic_model_tree wikiPageWikiLink Logistic_regression.
- Logistic_model_tree wikiPageWikiLink LogitBoost.
- Logistic_model_tree wikiPageWikiLink Overfitting.
- Logistic_model_tree wikiPageWikiLink Piecewise_linear_function.
- Logistic_model_tree wikiPageWikiLink Statistical_classification.
- Logistic_model_tree wikiPageWikiLink Supervised_learning.
- Logistic_model_tree wikiPageWikiLinkText "Logistic model tree".
- Logistic_model_tree wikiPageUsesTemplate Template:Compu-sci-stub.
- Logistic_model_tree wikiPageUsesTemplate Template:Machine_learning_bar.
- Logistic_model_tree wikiPageUsesTemplate Template:Reflist.
- Logistic_model_tree subject Category:Decision_trees.
- Logistic_model_tree hypernym Model.
- Logistic_model_tree type Person.
- Logistic_model_tree type Redirect.
- Logistic_model_tree comment "In computer science, a logistic model tree (LMT) is a classification model with an associated supervised training algorithm that combines logistic regression (LR) and decision tree learning.Logistic model trees are based on the earlier idea of a model tree: a decision tree that has linear regression models at its leaves to provide a piecewise linear regression model (where ordinary decision trees with constants at their leaves would produce a piecewise constant model).".
- Logistic_model_tree label "Logistic model tree".
- Logistic_model_tree sameAs Q6667643.
- Logistic_model_tree sameAs m.02vq7q4.
- Logistic_model_tree sameAs Q6667643.
- Logistic_model_tree wasDerivedFrom Logistic_model_tree?oldid=678408425.
- Logistic_model_tree isPrimaryTopicOf Logistic_model_tree.