• Thumbnail for Decision tree
    A decision tree is a decision support recursive partitioning structure that uses a tree-like model of decisions and their possible consequences, including...
    26 KB (3,464 words) - 04:00, 6 June 2025
  • Decision tree learning is a supervised learning approach used in statistics, data mining and machine learning. In this formalism, a classification or...
    47 KB (6,489 words) - 07:10, 31 July 2025
  • Thumbnail for Decision tree pruning
    learning and search algorithms that reduces the size of decision trees by removing sections of the tree that are non-critical and redundant to classify instances...
    7 KB (986 words) - 16:22, 5 February 2025
  • typically simple decision trees. When a decision tree is the weak learner, the resulting algorithm is called gradient-boosted trees; it usually outperforms...
    28 KB (4,259 words) - 23:39, 19 June 2025
  • Thumbnail for Decision tree model
    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...
    20 KB (3,229 words) - 03:12, 21 July 2025
  • Game tree size (total number of possible games) Decision complexity (number of leaf nodes in the smallest decision tree for initial position) Game-tree complexity...
    37 KB (2,837 words) - 00:34, 31 May 2025
  • In the context of decision trees in information theory and machine learning, information gain refers to the conditional expected value of the Kullback–Leibler...
    21 KB (3,032 words) - 10:59, 9 June 2025
  • An alternating decision tree (ADTree) is a machine learning method for classification. It generalizes decision trees and has connections to boosting....
    9 KB (1,261 words) - 17:43, 3 January 2023
  • An incremental decision tree algorithm is an online machine learning algorithm that outputs a decision tree. Many decision tree methods, such as C4.5,...
    13 KB (1,392 words) - 21:05, 23 May 2025
  • given decision. This may be represented as a network of decision-making elements, as a decision tree or in other ways depending on the specific situation...
    4 KB (580 words) - 09:14, 20 July 2025
  • analysis, a decision tree can be used to visually and explicitly represent decisions and decision making. In data mining, a decision tree describes data...
    140 KB (15,519 words) - 09:37, 3 August 2025
  • Random forest (category Decision trees)
    decision forests is an ensemble learning method for classification, regression and other tasks that works by creating a multitude of decision trees during...
    46 KB (6,531 words) - 18:07, 27 June 2025
  • by decision analysts with an intuitive semantic that is easy to understand. It is now adopted widely and becoming an alternative to the decision tree which...
    12 KB (1,467 words) - 19:29, 23 June 2025
  • {\displaystyle f(0,1,1)} . The binary decision tree of the left figure can be transformed into a binary decision diagram by maximally reducing it according...
    24 KB (3,109 words) - 11:19, 19 June 2025
  • Thumbnail for Minimum spanning tree
    A minimum spanning tree (MST) or minimum weight spanning tree is a subset of the edges of a connected, edge-weighted undirected graph that connects all...
    44 KB (5,460 words) - 15:05, 21 June 2025
  • a technique for improving the classification accuracy of a decision tree. A decision tree is a model used to make predictions by following a flowchart-like...
    3 KB (388 words) - 11:35, 16 July 2025
  • BSP tree Rapidly exploring random tree Abstract syntax tree Parse tree Decision tree Alternating decision tree Minimax tree Expectiminimax tree Finger...
    9 KB (914 words) - 05:55, 20 March 2025
  • two types: Multi-relational decision tree learning (MRDTL) uses a supervised algorithm that is similar to a decision tree. Deep Feature Synthesis uses...
    20 KB (2,184 words) - 08:08, 17 July 2025
  • Thumbnail for Game tree
    subtree that can be used to solve the game is known as a decision tree, and the sizes of decision trees of various shapes are used as measures of game complexity...
    10 KB (1,288 words) - 00:24, 24 May 2025
  • Thumbnail for XGBoost
    a single decision tree, it sacrifices the intrinsic interpretability of decision trees.  For example, following the path that a decision tree takes to...
    14 KB (1,323 words) - 09:51, 14 July 2025
  • in a comparison-based model of computation such as a decision tree or algebraic decision tree, is Θ ( n log ⁡ n ) {\displaystyle \Theta (n\log n)} ....
    7 KB (893 words) - 17:33, 22 December 2024
  • specified by a k-length decision list includes as a subset the language specified by a k-depth decision tree. Learning decision lists can be used for attribute...
    2 KB (238 words) - 17:35, 26 June 2025
  • exists resources regarding adaptive management decision cycles. Adaptive management Decision tree Decisional balance sheet Feedback Learning cycle Systems...
    9 KB (855 words) - 12:34, 7 March 2025
  • (like random decision trees) can be used to produce a stronger ensemble than very deliberate algorithms (like entropy-reducing decision trees). Using a variety...
    53 KB (6,692 words) - 01:25, 12 July 2025
  • isolated using few partitions. Like decision tree algorithms, it does not perform density estimation. Unlike decision tree algorithms, it uses only path length...
    37 KB (4,553 words) - 03:02, 16 June 2025
  • reduces variance and overfitting. Although it is usually applied to decision tree methods, it can be used with any type of method. Bagging is a special...
    23 KB (2,430 words) - 00:58, 2 August 2025
  • Thumbnail for ID3 algorithm
    ID3 algorithm (category Decision trees)
    In decision tree learning, ID3 (Iterative Dichotomiser 3) is an algorithm invented by Ross Quinlan used to generate a decision tree from a dataset. ID3...
    10 KB (1,324 words) - 18:04, 1 July 2024
  • Fast-and-frugal tree or matching heuristic (in the study of decision-making) is a simple graphical structure that categorizes objects by asking one question...
    18 KB (1,844 words) - 05:04, 26 May 2025
  • Thumbnail for Tree structure
    science) Trees can also be represented radially: Kinds of trees B-tree Dancing tree Decision tree Left-child right-sibling binary tree Porphyrian tree Tree (data...
    12 KB (966 words) - 01:38, 17 May 2025
  • Belief Network (BBN) Bayesian Network (BN) Decision tree algorithm Decision tree Classification and regression tree (CART) Iterative Dichotomiser 3 (ID3) C4...
    39 KB (3,385 words) - 07:36, 7 July 2025