decision trees — Diagrams that illustrate the choices available to a decision maker and the estimated outcomes of each possible decision. Each possible decision is shown as a separate branch of the tree, together with each estimated outcome for each decision and… … Accounting dictionary
Pruning (decision trees) — Pruning is a technique in machine learning that reduces the size of decision trees by removing sections of the tree that provide little power to classify instances. The dual goal of pruning is reduced complexity of the final classifier as well as … Wikipedia
Top-Down Induction of Decision Trees — oder kurz TDIDT ist ein nicht inkrementelles Lernverfahren im Forschungsbereich des maschinellen Lernens, das auf der Verwendung von Entscheidungsbäumen basiert. Als Ausgangspunkt dient eine Lernmenge L von Beispielen und eine Menge T der… … Deutsch Wikipedia
Decision analysis — (DA) is the discipline comprising the philosophy, theory, methodology, and professional practice necessary to address important decisions in a formal manner. Decision analysis includes many procedures, methods, and tools for identifying, clearly… … Wikipedia
Decision table — Decision tables are a precise yet compact way to model complicated logic.[1] Decision tables, like flowcharts and if then else and switch case statements, associate conditions with actions to perform, but in many cases do so in a more elegant way … Wikipedia
Information gain in decision trees — In information theory and machine learning, information gain is an alternative synonym for Kullback–Leibler divergence . In particular, the information gain about a random variable X obtained from an observation that a random variable A takes the … Wikipedia
Decision tree learning — This article is about decision trees in machine learning. For the use of the term in decision analysis, see Decision tree. Decision tree learning, used in statistics, data mining and machine learning, uses a decision tree as a predictive model… … Wikipedia
Decision tree — This article is about decision trees in decision analysis. For the use of the term in machine learning, see Decision tree learning. A decision tree is a decision support tool that uses a tree like graph or model of decisions and their possible… … Wikipedia
Decision tree model — In computational complexity and communication complexity theories the decision tree model is the model of computation or communication in which an algorithm or communication process is considered to be basically a decision tree, i.e., a sequence… … Wikipedia
Decision stump — An example of a decision stump that discriminates between two of three classes of Iris flower data set: Iris versicolor and Iris virginica. This particular stump achieves 94% accuracy on Iris dataset for these two classes. A decision stump is a… … Wikipedia
