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What is Decision Tree
1.
A symbolic learning classifier that represents a discrete function by a
decision tree
.
Learn more in: Machine Learning
2.
A visual representation of a
decision
problem that forms
tree
-like predictive models with the aim of helping people to make better
decision
s.
Learn more in: Applications for Data Mining Techniques in Customer Relationship Management
3.
A
decision tree
is a
decision
-making aid that employs a
tree
-like model of choices and their potential results, such as chance event outcomes, cost objects, and usefulness. It’s one approach to show an algorithm made up entirely of conditional control statements.
Learn more in: Identifying Disease and Diagnosis in Females Using Machine Learning
4.
A
decision tree
is a
tree
like model of
decision
s. In
decision tree
each branch represents the outcome of the test.
Learn more in: Healthcare-Internet of Things and Its Components: Technologies, Benefits, Algorithms, Security, and Challenges
5.
A
tree
like structure for modeling
decision
s and classifying data.
Learn more in: Applying Artificial Intelligence to Financial Investing
6.
A diagram consisting of square
decision
nodes, circle probability nodes, and branches representing
decision
alternatives.
Learn more in: Decision Trees
7.
A graphical representation for a
decision
problem that specifies the
decision
s that must be made, the chance events the
decision
maker faces, and the possible outcomes that result from the
decision
s and chance events that occurs.
Learn more in: Utility Functions and Risk Attitudes in Decision Analysis
8.
A
decision tree
is a graph that uses a branching method to illustrate every possible outcome of a
decision
. Each branch of the
decision tree
represents a possible
decision
or occurrence. The
tree
structure shows how one choice leads to the next, and the use of branches indicates that each option is mutually exclusive.
Learn more in: Evolutionary Algorithms for Global Decision Tree Induction
9.
A
tree
like structure for modeling
decision
s and classifying data.
Learn more in: Artificial Intelligence and Investing
10.
A tool to help make
decision
s based on a set of rules that help to navigate the
tree
along its branches.
Learn more in: Data Mining Tools: Association Rules
11.
Is a
decision
support tool that uses a
tree
-like graph or model of
decision
s and their possible consequences, including chance event outcomes, resource costs, and utility.
Learn more in: Computational Approach for Personality Detection on Attributes: An IoT-MMBD-Enabled Environment
12.
A diagram showing branching paths through various action sequences based on
decision
s made at various junctures.
Learn more in: Incisive Real-Time Biosafety Decision-Making Under Societal Reopening: An Ego-Level Decision-Tree Understructure for a Serious Game (in the COVID-19 Pandemic Era)
13.
Decision
support method that uses a
tree
-like graph with algorithm for partitioning.
Learn more in: Particle Swarm Optimization Algorithm as a Tool for Profiling from Predictive Data Mining Models
14.
A
tree
like structure that is used for classification of different records.
Learn more in: Application of Data Mining Techniques on Library Circulation Data for Library Material Acquisition and Budget Allocation
15.
A
decision tree
consists of a root node, representing a
decision
, a set of intermediate (event) nodes, representing some kind of uncertainty and consequence nodes, representing possible final outcomes. Usually, probability distributions are assigned in the form of weights in the probability nodes as measures of the uncertainties involved.
Learn more in: Decision Making in Intelligent Agents
16.
A schematic
tree
-shaped diagram used to determine a course of action or show a statistical probability. Each branch of the
decision tree
represents a possible
decision
or occurrence.
Learn more in: RIP Technique for Frequent Itemset Mining
17.
A classifier in the form of a
tree
structure, where each node is either a leaf node or a
decision
node. A leaf node indicates the value of the target attribute (class) of examples.
Learn more in: Application to Bankruptcy Prediction in Banks
18.
It is a
tree
-like model that is used for making the
decision
.
Learn more in: A Study on Supervised Machine Learning Technique to Detect Anomalies in Networks
19.
Intelligent model based on rules and used to predict.
Learn more in: Implementation of an Intelligent Model Based on Machine Learning in the Application of Macro-Ergonomic Methods in a Human Resources Process Based on ISO 12207
20.
Is a flowchart-like structure in which each internal node represents a “test” on an attribute. i.e., 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.
Learn more in: Machine Learning for Industrial IoT Systems
21.
A classification method that has the appearance of a
tree
structure.
Learn more in: Comparison of Machine Learning Algorithms in Predicting the COVID-19 Outbreak
22.
A
tree
like structure for modeling
decision
s and classifying data.
Learn more in: Applying Artificial Intelligence to Financial Investing
23.
A
decision
analysis method that, on the basis of the known probability of various situations, calculates the probability of the expected value of the net present value being greater than or equal to zero by constructing the
decision tree
, evaluates the project risk, and determines its feasibility.
Learn more in: Crime Hotspot Prediction Using Big Data in China
24.
Decision tree
is a
decision
support tool that uses
tree
-like model to explore the possible outcomes.
Learn more in: Introduction to Python and Its Statistical Applications
25.
Decision tree
s are useful for topics that can be given in the form of unit answers such as category or class name
Learn more in: Data Mining Applications in a Medical System: A Case Study
26.
Builds classification models in the form of a
tree
structure by breaking down a dataset into smaller and smaller subsets, while at the same time, an associated
decision tree
is incrementally developed. The final result is a
tree
with
decision
nodes (having two or more branches) and leaf nodes (representing a classification or
decision
).
Learn more in: A Big Data Analysis of the Factors Influencing Movie Box Office in China
27.
A predictive model which can be visualized in a hierarchical structure using leaves and ramifications.
Learn more in: Decision Tree Applications for Data Modelling
28.
A
decision tree
is a graph that uses a branching method to illustrate every possible outcome of a
decision
. Each branch of the
decision tree
represents a possible
decision
or occurrence. The
tree
structure shows how one choice leads to the next, and the use of branches indicates that each option is mutually exclusive.
Learn more in: Global Induction of Classification and Regression Trees
29.
A method that build a
tree
-like models to present all the possible consequences in different kinds of data is used in the process of data prediction.
Learn more in: Airbnb (Air Bed and Breakfast) Listing Analysis Through Machine Learning Techniques
30.
A graphical representation or plot that reflects the initial states, evolution and possible outcome of a CA that is guided by specified rules.
Learn more in: Cellular Automata-Basics: Applications in Problem Solving
31.
A tool to help make
decision
s based on a set of rules that help to navigate the
tree
along its branches.
Learn more in: Data Mining Tools: Formal Concept Analysis and Rough Sets
32.
this is a scheme in which the person decides according to the given possibilities and then proceeds to the goal to which he/she had established his / her previous selections/
decision
s.
Learn more in: Financial Sources for Company Scale-Up
33.
A
decision tree
is a graph that uses a branching method to illustrate every possible outcome of a
decision
. Each branch of the
decision tree
represents a possible
decision
or occurrence. The
tree
structure shows how one choice leads to the next, and the use of branches indicates that each option is mutually exclusive.
Learn more in: Evolutionary Algorithms for Global Decision Tree Induction
34.
A
tree
-like way of representing a collection of hierarchical
decision
rules that lead to a class or value, starting from a root node ending in a series of leaf nodes.
Learn more in: Fuzzy Decision Trees
35.
It is graphical illustration of sequence of actions which result in utility or loss.
Learn more in: Data Guided Public Healthcare Decision Making
36.
Is a
decision
support tool that uses a
tree
-like graph or model of
decision
s and their possible consequences, including chance event outcomes, resource costs, and utility. It is one way to display an algorithm.
Learn more in: Advances in QoS/E Characterization and Prediction for Next Generation Mobile Communication Systems
37.
It is technique for classifying data. The root node of a
decision tree
represents all examples. If these examples belong to two or more classes, then the most discriminating attribute is selected and the set is split into multiple classes.
Learn more in: Data Mining in Tourism
38.
A rooted, ordered, and labeled
tree
. Given a boolean function on n-variables (tests), a
decision tree
is a deterministic algorithm for deciding which variable to test next, based on the previously tested variables and the results of their evaluation, until the function’s value can be determined.
Learn more in: Guided Interactive Diagnostic Assistance
39.
A machine learning algorithm that cascades data through a series of sequential
decision
s to determine classification or regression outcomes.
Learn more in: Introduction to Machine Learning as a New Methodological Framework for Performance Assessment
40.
A
tree
-like structure for representing a collection of hierarchical
decision
rules that lead to a class or value, starting from a root node ending in a series of leaf nodes.
Learn more in: Fuzzy Decision Trees
41.
A predictive model induced from quantitative and qualitative (nominal, categorical) data.
Learn more in: Creating and Analyzing Induced Decision Trees From Online Learning Data
42.
is intuitive way for specifying
decision
procedures, a simple visual representation (an acyclic, directed graph).
Learn more in: Languages and Tools for Rule Modeling
43.
It is a
tree
-like way of representing a collection of hierarchical
decision
rules that leads to a class or value, starting from a root node ending in a series of leaf nodes.
Learn more in: Fuzzy Decision-Tree-Based Analysis of Databases
44.
A
decision tree
is a graph that uses a branching method to illustrate every possible outcome of a
decision
. Each branch of the
decision tree
represents a possible
decision
or occurrence. The
tree
structure shows how one choice leads to the next, and the use of branches indicates that each option is mutually exclusive.
Learn more in: Relative Relations in Biomedical Data Classification
45.
A representation of knowledge in a
tree
-like form usually used for classification. The non-terminal nodes of the
tree
represent questions, the terminal nodes represent class labels and the edges represent answers to questions.
Learn more in: Machine Learning
46.
The
decision tree
summarizes the patterns using the format of the binary
tree
and it is commonly used in operation management.
Learn more in: Auditor Change Prediction Using Data Mining and Audit Reports
47.
It is a
decision
support tool to display an algorithm that uses a
tree
-like graph or model of
decision
s and their possible consequences, including chance event outcomes, resource costs and utility.
Learn more in: A New Tree-Based Classifier for Satellite Images
48.
A
decision tree
is a tool that uses a
tree
like graph to model
decision
s and consequences to help managers incorporate uncertainty in valuations.
Learn more in: Optimizing Investment Decisions Using DCF, Decision Tree Analysis, and Real Options Analysis: The Case of Hotel Expansions
Find more terms and definitions using our
Dictionary Search
.
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