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Decision support tool
A decision tree is a decision support recursive partitioning structure that uses a tree-like model of decisions and their possible consequences, including
Decision_tree
Machine learning algorithm
Decision tree learning is a supervised learning approach used in statistics, data mining and machine learning. In this formalism, a classification or
Decision_tree_learning
Data compression technique
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
Decision_tree_pruning
Machine learning technique
typically simple decision trees. When a decision tree is the weak learner, the resulting algorithm is called gradient-boosted trees; it usually outperforms
Gradient_boosting
Model of computational complexity
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
Decision_tree_model
An incremental decision tree algorithm is an online machine learning algorithm that outputs a decision tree. Many decision tree methods, such as C4.5,
Incremental_decision_tree
Notion in combinatorial game theory
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
Game_complexity
Gain from observing another random variable
In the context of decision trees in information theory and machine learning, information gain refers to the conditional expected value of the Kullback–Leibler
Information gain (decision tree)
Information_gain_(decision_tree)
Tree-based machine learning method for classification
An alternating decision tree (ADTree) is a machine learning method for classification. It generalizes decision trees and has connections to boosting.
Alternating_decision_tree
Subset of artificial intelligence
analysis, a decision tree can be used to visually and explicitly represent decisions and decision making. In data mining, a decision tree describes data
Machine_learning
Tree-based ensemble machine learning methods
decision forests is an ensemble learning method for classification, regression and other tasks that works by creating a multitude of decision trees during
Random_forest
Machine learning technique for improving decision trees
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
Grafting_(decision_trees)
Least-weight tree connecting graph vertices
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
Minimum_spanning_tree
Data structure for Boolean functions
{\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
Binary_decision_diagram
Gradient boosting machine learning library
a single decision tree, it sacrifices the intrinsic interpretability of decision trees. For example, following the path that a decision tree takes to
XGBoost
Data organization and storage formats
tree Rapidly exploring random tree Abstract syntax tree Parse tree Decision tree Alternating decision tree Game tree Expectiminimax tree Finger tree Expression
List_of_data_structures
Overview of and topical guide to machine learning
Belief Network (BBN) Bayesian Network (BN) Decision tree algorithm Decision tree Classification and regression tree (CART) Iterative Dichotomiser 3 (ID3) C4
Outline_of_machine_learning
Extracting features from raw data for machine learning
two types: Multi-relational Decision Tree Learning (MRDTL) uses a supervised algorithm that is similar to a decision tree. Deep Feature Synthesis uses
Feature_engineering
Microsoft open source gradient boosting framework for machine learning
machine learning, originally developed by Microsoft. It is based on decision tree algorithms and used for ranking, classification and other machine learning
LightGBM
Sequence of steps for decision-making
exists resources regarding adaptive management decision cycles. Adaptive management Decision tree Decisional balance sheet Feedback Learning cycle Systems
Decision_cycle
Problem in computational complexity theory
n})^{2/3})} time. Additionally, Grønlund and Pettie showed that the 4-linear decision tree complexity of 3SUM is O ( n 3 / 2 log n ) {\displaystyle O(n^{3/2}{\sqrt
3SUM
Method in machine learning
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
Bootstrap_aggregating
Simple strategies or mental processes involved in making quick decisions
full decision tree, however, it is an incomplete tree – to save time and reduce the danger of overfitting. Figure 1 shows a fast-and-frugal tree used
Heuristic_(psychology)
Graphical breakdown for problem solving
2018-10-06. Issue trees, issue maps, logic trees, how trees, why trees, diagnostic trees, solution trees, decision trees, fact trees, hypothesis trees... How should
Issue_tree
Statistics and machine learning technique
(like random decision trees) can be used to produce a stronger ensemble than very deliberate algorithms (like entropy-reducing decision trees). Using a variety
Ensemble_learning
Task of computing complete subgraphs
deterministic decision trees, and for any k in the range 2 ≤ k ≤ n, the property of containing a k-clique was shown to have decision tree complexity exactly
Clique_problem
Combinatorial game theory concept to represent all possible game states
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
Game_tree
Subtopic in process mining
on data attributes. The rules for decision mining is extracted using decision tree algorithms, that analyses decision points to find out which properties
Decision_mining
Information systems supporting business or organizational decision-making activities
A decision support system (DSS) is an information system that supports business or organizational decision-making activities. DSSs serve the management
Decision_support_system
Oldest known non-clonal organism
before the cutting, and the circumstances and decision-making process remain controversial. The tree's name refers to the mythological figure Prometheus
Prometheus_(tree)
Visual representation of a decision-making problem
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
Influence_diagram
Quality of a decision in the moment
Decision quality (DQ) is the quality of a decision at the moment the decision is made, regardless of its outcome. Decision quality concepts permit the
Decision_quality
Problem in combinatorial optimization
generalized to algebraic decision trees by Steele and Yao. If the elements in the problem are real numbers or rationals, the decision-tree lower bound extends
Knapsack_problem
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)} .
Element_distinctness_problem
Adaptive boosting based classification algorithm
learners (such as decision stumps), it has been shown to also effectively combine strong base learners (such as deeper decision trees), producing an even
AdaBoost
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
Decision_model
Index of articles associated with the same name
take the form of a decision tree Decision tree model#Quantum decision tree, decision tree complexity for a quantum decision tree Equitable cake-cutting#Query
Query_complexity
Way of representing the hierarchical nature of a structure in a graphical form
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
Tree_structure
Mathematical model of plan execution
tree structure (usually through drag and drop) whose leaf nodes are actions and whose inner nodes determine the NPC's decision making. Behavior trees
Behavior tree (artificial intelligence, robotics and control)
Behavior_tree_(artificial_intelligence,_robotics_and_control)
Simple graphical structure in decision-making
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
Fast-and-frugal_trees
Branch of biology
as a classification tree, but if the target variable is continuous then it is called a regression tree. To construct a decision tree, it must first be trained
Computational_biology
Algorithm for making decision trees
used to generate a decision tree developed by Ross Quinlan. C4.5 is an extension of Quinlan's earlier ID3 algorithm. The decision trees generated by C4.5
C4.5_algorithm
Decision tree algorithm
In decision tree learning, ID3 (Iterative Dichotomiser 3) is a greedy algorithm invented by Ross Quinlan used to generate a decision tree from a dataset
ID3_algorithm
Boolean classifier from one decision
A decision stump is a machine learning model consisting of a one-level decision tree. That is, it is a decision tree with one internal node (the root)
Decision_stump
Evolutionary algorithm
tree induction also carries to gene expression programming and there are two GEP algorithms for decision tree induction: the evolvable decision trees
Gene_expression_programming
Heuristic search algorithm for evaluating game trees
In computer science, Monte Carlo tree search (MCTS) is a heuristic tree search algorithm for some kinds of decision processes, most notably those employed
Monte_Carlo_tree_search
Framework for corporate funding, capital structure, and investments
Business Value Arthur Pinkasovitch (2025).Using Decision Trees in Finance, investopedia.com Decision Trees, accaglobal.com See:Identifying real options,
Corporate_finance
Record of procedures for IT system staff
Service Desk engineer. Multiple runbooks can be linked together using a Decision Tree to provide users with interactive troubleshooting and guided procedures
Runbook
Undirected, connected, and acyclic graph
as Bethe lattices. Decision tree Hypertree Multitree Pseudoforest Tree structure (general) Tree (data structure) Unrooted binary tree Bender & Williamson
Tree_(graph_theory)
Philosophical problem-solving principle
in the problem of decision tree induction, see Dowe and Needham's "Message Length as an Effective Ockham's Razor in Decision Tree Induction". The no
Occam's_razor
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
Decision_list
Decision tree learning technique
Chi-square automatic interaction detection (CHAID) is a decision tree technique based on adjusted significance testing (Bonferroni correction, Holm-Bonferroni
Chi-square automatic interaction detection
Chi-square_automatic_interaction_detection
Average uncertainty in variable's states
learning is to minimize uncertainty. Decision tree learning algorithms use relative entropy to determine the decision rules that govern the data at each
Entropy_(information_theory)
Discipline covering formal decision making
development of an influence diagram or decision tree. These are commonly used graphical representations of decision-analysis problems. These graphical tools
Decision_analysis
Table specifying actions based on conditions
MapReduce to find the correct actions based on specific input values. Decision trees Case based reasoning Cause–effect graph Dominance-based rough set approach
Decision_table
Data pre-processing technique
contrast. Binning is also used in machine learning to speed up the decision-tree boosting method for supervised classification and regression in algorithms
Data_binning
Amount in information economics
way to ensure correctness. Decision trees and influence diagrams are most commonly used in representing and solving decision situations as well as associated
Value_of_information
American cryptographer (born 1947)
[A7] In the problem of decision tree learning, Rivest and Laurent Hyafil proved that it is NP-complete to find a decision tree that identifies each of
Ron_Rivest
Machine learning paradigm
algorithm. For example, one may choose to use support-vector machines or decision trees. Complete the design. Run the learning algorithm on the gathered training
Supervised_learning
Rapidly-exploring random tree Theta* Vector Field Histogram AdaBoost Almeida–Pineda recurrent backpropagation ALOPEX Alternating decision tree Apriori algorithm
List of artificial intelligence algorithms
List_of_artificial_intelligence_algorithms
and resources than expected. The IpOp model uses a generic decision tree to help decision-makers better manage their resources. To achieve this early
IpOp_model
Technique for making decisions
Evaluate options: Using the decision criteria, evaluate the potential outcomes of each option. This may involve creating a decision tree or a flowchart to help
Business_decision_mapping
Hypothetical end-of-the-world scenario
possible risks from advancing a technology. This requires that a decision tree or event tree include even extremely low probability events if such events
Gray_goo
optimized sequential algorithm. OpenL includes such table types as decision table, decision tree, spreadsheet-like calculator. The OpenL Tablets project was
OpenL_Tablets
Computer scientist
science researcher in data mining and decision theory. He has contributed extensively to the development of decision tree algorithms, including inventing the
Ross_Quinlan
or look-up table, useful in healthcare. Medical algorithms include decision tree approaches to healthcare treatment (e.g., if symptoms A, B, and C are
Medical_algorithm
decisions about which piece of code to execute next. Decision trees and binary decision diagrams, representations for sequences of binary decisions.
Binary_decision
Problem-solving method
Heuristics can be mental shortcuts that ease the cognitive load of making a decision. Heuristic reasoning is often based on induction, or on analogy ... Induction
Heuristic
List of unsolved computational problems
algorithmic complexity of the minimum spanning tree problem? Equivalently, what is the decision tree complexity of the MST problem? The optimal algorithm
List of unsolved problems in computer science
List_of_unsolved_problems_in_computer_science
supporting such choices. A "Procurement Route Decision Tree" was put in place to support this policy. The decision tree was updated on 30 July 2015 to accommodate
Government procurement in the United Kingdom
Government_procurement_in_the_United_Kingdom
Numerical software
Native". Retrieved 13 May 2025. "Benchmarks for optimization software". Decision tree for optimization software. March 2022. Retrieved 31 March 2022. "Optimization
HiGHS_optimization_solver
String that certifies the answer to a computation
the decision tree model of computation, certificate complexity is the minimum number of the n {\displaystyle n} input variables of a decision tree that
Certificate_(complexity)
Methods in artificial intelligence research
contributions including Version Space, Valiant's PAC learning, Quinlan's ID3 decision-tree learning, case-based learning, and inductive logic programming to learn
Symbolic artificial intelligence
Symbolic_artificial_intelligence
Free and open-source statistical program
Variability, P Values, Confidence Intervals, Effect Sizes, Statistical Test Decision Tree). Machine Learning: Explore the relation between variables using data-driven
JASP
Sequence of locally optimal choices
the same greedy algorithm is optimal for any number of circles. In decision tree learning, greedy algorithms are commonly used, however they are not
Greedy_algorithm
Difficulties arising when analyzing data with many aspects ("dimensions")
genetic mutations and creating a classification algorithm such as a decision tree to determine whether an individual has cancer or not. A common practice
Curse_of_dimensionality
Topics referred to by the same term
form Family tree, used in genealogy to show familial relationships Decision tree, a tree model of decisions and their consequences Dialogue tree, used to
Tree_(disambiguation)
function for which every decision tree algorithm has running time of exactly n {\displaystyle n} . Consequently, every decision tree algorithm that represents
Evasive_Boolean_function
Corner detection method in computer vision
= d } Ps = {p ∈ P : Sp→x = s } Pb = {p ∈ P : Sp→x = b } Secondly, a decision tree algorithm, the ID3 algorithm is applied to the 16 locations in order
Features from accelerated segment test
Features_from_accelerated_segment_test
Functional safety standard
safeguards, e.g., fixed or movable guards or other measures. The Annex A decision tree, Figure A.1, is provided as an example of how the PLr can be determined
ISO_13849
Psychological learning theory computer program
standing for their own. The software is working internally by creating a decision tree. An improved version is available under the name “EPAM-VI”. CHREST Soar
EPAM
Mathematical model describing how an output of a function is computed given an input
Pushdown automata Register machines Random-access machines Turing machines Decision tree model External memory model Functional models include: Abstract rewriting
Model_of_computation
Decision-making process conducted with varying degrees of human oversight
automated decision-making systems can be as simple as checklists and decision trees through to artificial intelligence and deep neural networks (DNN). Since
Automated_decision-making
Type of game
autonomous, decision-making skills have a high significance in determining the outcome. Almost all strategy games require internal decision tree-style thinking
Strategy_game
Rapid flooding of low-lying areas
on YouTube Public clip of the Fochabers flood in Moray September 9 Decision tree to choose an uncertainty method for hydrological and hydraulic modelling
Flash_flood
Area of machine learning
with “if-then statements” and was created with the ID3 algorithm for decision tree learning. Rule learning algorithm are taking training data as input
Rule_induction
Decision tree training concept
In decision tree learning, information gain ratio is a ratio of information gain to the intrinsic information. It was proposed by Ross Quinlan, to reduce
Information_gain_ratio
On short connecting nets with added points
such solution is known for the Steiner tree problem. Its decision variant, asking whether a given input has a tree of weight less than some given threshold
Steiner_tree_problem
Topics referred to by the same term
probability theory Decision tree, a decision support tool that uses a tree-like graph or model of decisions and their possible consequences Event tree, inductive
Tree_diagram
Theorem about complexity measures of Boolean functions
Several papers in the late 1980s and early 1990s showed that various decision tree complexity measures of Boolean functions are polynomially related, meaning
Sensitivity_theorem
Problem in machine learning and statistical classification
being: apple, no apple). While many classification algorithms (e.g., decision trees, k-NN, neural networks and multinomial logistic regression) naturally
Multiclass_classification
Diagram to represent a probability space in probability theory
multiplied. Probability trees also characterize relationships between multiple, conditional events. Decision tree Markov chain Staged tree "Tree Diagrams". BBC
Tree diagram (probability theory)
Tree_diagram_(probability_theory)
Process in machine learning and statistics
algorithms. The features from a decision tree or a tree ensemble are shown to be redundant. A recent method called regularized tree can be used for feature subset
Feature_selection
Class of games where players choose their actions sequentially
and Go, with decision trees varying in complexity—from the compact tree of tic-tac-toe to the vast, unmappable tree of chess. Decision trees, the extensive
Sequential_game
List of concepts in artificial intelligence
descriptive decision theory which analyzes how existing, possibly irrational agents actually make decisions. decision tree learning Uses a decision tree (as a
Glossary of artificial intelligence
Glossary_of_artificial_intelligence
2003 American television teen drama series
One Tree Hill is an American teen drama television series created by Mark Schwahn, which premiered on September 23, 2003, on the WB. After the series'
One_Tree_Hill_(TV_series)
stage. A decision tree-based approach is available for pressure ulcer risk assessment in immobilized patients and there is a decision tree algorithm
Personalized statistical medicine
Personalized_statistical_medicine
on classification charts. Chart Decision tree Decision tree learning Phylogenetic trees Tree of life (biology) Tree structure Wikimedia Commons has media
Classification_chart
Collaborative Filtering Decision stumps (one-level decision trees) Density Estimation Trees Euclidean minimum spanning trees Gaussian Mixture Models (GMMs)
Mlpack
Visual representation of the structure of an argument
"reflective argumentation". An argument map, unlike a decision tree, does not tell how to make a decision, but the process of choosing a coherent position
Argument_map
DECISION TREE
DECISION TREE
Boy/Male
Australian, Danish, Dutch, French, Swedish
Fox; Advice; Decision
Boy/Male
Indian
Decision
Boy/Male
Australian, Basque, Jamaican
Advise; Decision and Protector
Boy/Male
Finnish, German
Advice; Decision Protection
Boy/Male
Tamil
Nishchay | நிஷà¯à®šà®¯Â
Decision, Confirmed
Nishchay | நிஷà¯à®šà®¯Â
Boy/Male
Hindu, Indian
Clever; Own Decision Maker
Boy/Male
English
Dennis' son.
Boy/Male
Australian, German, Irish, Teutonic
Protecting Hands; Decision Protector
Boy/Male
Hindu
Decision, Confirmed
Boy/Male
Indian, Tamil
Danger
Boy/Male
Tamil
Decision, Confirmed
Boy/Male
Hindu, Indian
Decision of God
Boy/Male
British, Danish, English, German
Wolf; Advice; Decision
Boy/Male
Muslim
Decision
Boy/Male
Hindu
Decision, Confirmed
Girl/Female
Indian, Telugu
Decision
Boy/Male
Hindu, Indian
Decision Maker
Girl/Female
Danish, German, Norse, Swedish
Powerful Warrior; Advice; Decision
Boy/Male
British, English, Indian, Tamil
Master; Dennis' Son
Surname or Lastname
English
English : patronymic from the personal name Dennis.Possibly an Americanized form of cognates in other languages, for example Russian Denisov, from Denis, or Ukrainian Denysevich, from Denys.
DECISION TREE
DECISION TREE
Girl/Female
Tamil
Jayitri | ஜாயிதà¯à®°à¯€
Victorious
Girl/Female
Gujarati, Hindu, Indian, Kannada, Malayalam, Marathi, Telugu
Wisdom; Follower of the Vedas; Knower of the Vedas
Girl/Female
Hindu, Indian, Marathi
Possessing Beauty
Girl/Female
Tamil
Beauty
Girl/Female
Hindu
Happiness
Girl/Female
Muslim/Islamic
Righteous
Male
Hebrew
(עוּץ) Variant spelling of Hebrew Uwts, UTZ means "soft and sandy earth" or "to consult." Compare with another form of Utz.
Surname or Lastname
English
English : variant of Shillito.
Girl/Female
Indian, Parsi
A Wild Violet
Girl/Female
Latin
Blooming.
DECISION TREE
DECISION TREE
DECISION TREE
DECISION TREE
DECISION TREE
n.
A head or chief over ten; especially, an officer who commanded a division of ten soldiers.
n.
An object of derision or scorn; a laughing-stock.
n.
An incision into the rectum, as for the division of a stricture.
n.
The act of deciding; act of settling or terminating, as a controversy, by giving judgment on the matter at issue; determination, as of a question or doubt; settlement; conclusion.
n.
The act of revising; reexamination for correction; review; as, the revision of a book or writing, or of a proof sheet; a revision of statutes.
n.
Decision; judgment; opinion; a court decision.
n.
Derision; mockery.
n.
The quality of being decided; prompt and fixed determination; unwavering firmness; as, to manifest great decision.
n.
The state of decision; a judicial decision, or ending of controversy.
n.
Opinion; decision.
n.
The act of deriding, or the state of being derided; mockery; scornful or contemptuous treatment which holds one up to ridicule.
n.
An account or report of a conclusion, especially of a legal adjudication or judicial determination of a question or cause; as, a decision of arbitrators; a decision of the Supreme Court.
n.
The act of cutting off.
n.
Cutting off; division; detachment of a part.
v. t.
Briskness; vigor; energy; decision.
n.
Final decision; determination; result.
n.
Want of decision; want of settled purpose, or of firmness; indetermination; wavering of mind; irresolution; vacillation; hesitation.
n.
Determination; decision; arbitration.
a.
Marked by promptness and decision.
adv.
Without decision.