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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 wikiPageRevisionID "602620521".
- Logistic_model_tree hasPhotoCollection Logistic_model_tree.
- Logistic_model_tree subject Category:Decision_trees.
- Logistic_model_tree type DecisionTrees.
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- 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".
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- Logistic_model_tree sameAs Q6667643.
- Logistic_model_tree sameAs Logistic_model_tree.
- Logistic_model_tree wasDerivedFrom Logistic_model_tree?oldid=602620521.
- Logistic_model_tree isPrimaryTopicOf Logistic_model_tree.