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  2. Decision tree - Wikipedia

    en.wikipedia.org/wiki/Decision_tree

    A decision tree is a flowchart-like structure in which each internal node represents a "test" on an attribute (e.g. whether a coin flip comes up heads or tails), each branch represents the outcome of the test, and each leaf node represents a class label (decision taken after computing all attributes).

  3. Decision tree learning - Wikipedia

    en.wikipedia.org/wiki/Decision_tree_learning

    A special case of a decision tree is a decision list, [14] which is a one-sided decision tree, so that every internal node has exactly 1 leaf node and exactly 1 internal node as a child (except for the bottommost node, whose only child is a single leaf node). While less expressive, decision lists are arguably easier to understand than general ...

  4. Decision stump - Wikipedia

    en.wikipedia.org/wiki/Decision_stump

    A decision stump is a machine learning model consisting of a one-level decision tree. [1] That is, it is a decision tree with one internal node (the root) which is immediately connected to the terminal nodes (its leaves). A decision stump makes a prediction based on the value of just a single input feature. Sometimes they are also called 1 ...

  5. C4.5 algorithm - Wikipedia

    en.wikipedia.org/wiki/C4.5_algorithm

    The attribute with the highest normalized information gain is chosen to make the decision. The C4.5 algorithm then recurses on the partitioned sublists. This algorithm has a few base cases. All the samples in the list belong to the same class. When this happens, it simply creates a leaf node for the decision tree saying to choose that class.

  6. Grafting (decision trees) - Wikipedia

    en.wikipedia.org/wiki/Grafting_(decision_trees)

    The nodes and leaves can be identified from the given information and the decision trees are constructed. One such decision tree is as follows, Decision Tree branch for the information. Here the X-axis is represented as A and Y-axis as B. There are two cuts in the decision treesnodes at 11 and 5 respective to A.

  7. Game complexity - Wikipedia

    en.wikipedia.org/wiki/Game_complexity

    Game-tree complexity of a game is the number of leaf nodes in the smallest full-width decision tree that establishes the value of the initial position. [1] A full-width tree includes all nodes at each depth. This is an estimate of the number of positions one would have to evaluate in a minimax search to determine the value of the initial position.

  8. ID3 algorithm - Wikipedia

    en.wikipedia.org/wiki/ID3_algorithm

    Then a leaf node is created and labelled with the most common class of the examples in the parent node's set. Throughout the algorithm, the decision tree is constructed with each non-terminal node ( internal node ) representing the selected attribute on which the data was split, and terminal nodes (leaf nodes) representing the class label of ...

  9. Decision tree model - Wikipedia

    en.wikipedia.org/wiki/Decision_tree_model

    Decision Tree Model. In computational complexity theory, the decision tree model is the model of computation in which an algorithm can be considered to be a decision tree, i.e. a sequence of queries or tests that are done adaptively, so the outcome of previous tests can influence the tests performed next.