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  2. Decision tree - Wikipedia

    en.wikipedia.org/wiki/Decision_tree

    Wicked problem. v. t. e. A decision tree is a decision support hierarchical model that uses a tree-like model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. It is one way to display an algorithm that only contains conditional control statements.

  3. Decision tree learning - Wikipedia

    en.wikipedia.org/wiki/Decision_tree_learning

    t. e. Decision tree learning is a supervised learning approach used in statistics, data mining and machine learning. In this formalism, a classification or regression decision tree is used as a predictive model to draw conclusions about a set of observations. Tree models where the target variable can take a discrete set of values are called ...

  4. Flowchart - Wikipedia

    en.wikipedia.org/wiki/Flowchart

    A simple flowchart representing a process for dealing with a non-functioning lamp. A flowchart is a type of diagram that represents a workflow or process. A flowchart can also be defined as a diagrammatic representation of an algorithm, a step-by-step approach to solving a task. The flowchart shows the steps as boxes of various kinds, and their ...

  5. Association rule learning - Wikipedia

    en.wikipedia.org/wiki/Association_rule_learning

    Association rule learning is a rule-based machine learning method for discovering interesting relations between variables in large databases. It is intended to identify strong rules discovered in databases using some measures of interestingness. [1] In any given transaction with a variety of items, association rules are meant to discover the ...

  6. Markov decision process - Wikipedia

    en.wikipedia.org/wiki/Markov_decision_process

    Markov decision process. In mathematics, a Markov decision process ( MDP) is a discrete-time stochastic control process. It provides a mathematical framework for modeling decision making in situations where outcomes are partly random and partly under the control of a decision maker. MDPs are useful for studying optimization problems solved via ...

  7. Algorithm selection - Wikipedia

    en.wikipedia.org/wiki/Algorithm_Selection

    Algorithm selection (sometimes also called per-instance algorithm selection or offline algorithm selection) is a meta- algorithmic technique to choose an algorithm from a portfolio on an instance-by-instance basis. It is motivated by the observation that on many practical problems, different algorithms have different performance characteristics ...

  8. Decision table - Wikipedia

    en.wikipedia.org/wiki/Decision_table

    Decision tables are a concise visual representation for specifying which actions to perform depending on given conditions. Decision table is the term used for a Control table or State-transition table in the field of Business process modeling ; they are usually formatted as the transpose of the way they are formatted in Software engineering .

  9. Decision-to-decision path - Wikipedia

    en.wikipedia.org/wiki/Decision-to-decision_path

    Decision-to-decision path. A decision-to-decision path, or DD-path, is a path of execution (usually through a flow graph representing a program, such as a flow chart) between two decisions. More recent versions of the concept also include the decisions themselves in their own DD-paths. A flow graph of a program.