ID3 algorithm
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 is the precursor to the C4.5 algorithm, and is typically used in the machine learning and natural language processing domains.
- Comment
- enIn decision tree learning, ID3 (Iterative Dichotomiser 3) is an algorithm invented by Ross Quinlan used to generate a decision tree from a dataset. ID3 is the precursor to the C4.5 algorithm, and is typically used in the machine learning and natural language processing domains.
- Date
- enOctober 2018
- Depiction
- Has abstract
- enIn decision tree learning, ID3 (Iterative Dichotomiser 3) is an algorithm invented by Ross Quinlan used to generate a decision tree from a dataset. ID3 is the precursor to the C4.5 algorithm, and is typically used in the machine learning and natural language processing domains.
- Hypernym
- Algorithm
- Is primary topic of
- ID3 algorithm
- Label
- enID3 algorithm
- Link from a Wikipage to an external page
- www.cise.ufl.edu/~ddd/cap6635/Fall-97/Short-papers/2.htm
- www2.cs.uregina.ca/~hamilton/courses/831/notes/ml/dtrees/4_dtrees1.html
- jeremykun.com/2012/10/08/decision-trees-and-political-party-classification/
- www.cis.temple.edu/~ingargio/cis587/readings/id3-c45.html
- people.eecs.ku.edu/~jerzygb/j24-sel.pdf%7Cjournal=Fundamenta
- archive.org/details/machinelearning00mitc_087%7Curl-access=limited%7Clast=Mitchell%7Cfirst=Tom
- archive.org/details/machinelearning00mitc_087/page/n66
- Link from a Wikipage to another Wikipage
- Algorithm
- Algorithm's optimality
- Backtracking
- Base case (recursion)
- Best-first search
- C4.5 algorithm
- Cardinality
- Category:Articles with example pseudocode
- Category:Classification algorithms
- Category:Decision trees
- Child node
- Classification and regression tree
- Complete information
- Computer memory
- Constant (mathematics)
- Continuous uniform distribution
- Continuous variable
- Data set
- Decision tree
- Decision tree learning
- Decision tree model
- Discrete uniform distribution
- Empty set
- Entropy (information theory)
- Expected value
- Feature (machine learning)
- Feature vector
- File:ID3 algorithm decision tree.png
- File:ID3 decision tree- splicing.png
- Greedy algorithm
- Heuristic (computer science)
- Information gain in decision trees
- Information theory
- Internal node
- Iteration
- Leaf node
- Locally optimal
- Local optimum
- Local variable
- Machine learning
- Maximum
- Minimum
- Mode (statistics)
- Natural language processing
- Node (computer science)
- Overfitting
- Partition of a set
- Population (statistics)
- Posterior distribution
- Probability distribution
- Proportion (mathematics)
- Random variable
- Recursion (computer science)
- Root node
- Ross Quinlan
- Run time (program lifecycle phase)
- Sampling (signal processing)
- Statistical classification
- Subset
- Tree traversal
- Reason
- enWhy are they preferred?
- SameAs
- Algorisme ID3
- Algorithme ID3
- Algoritmo ID3
- Algoritmo ID3
- dHLQ
- ID3
- ID3 (algoritme)
- ID3 (алгоритм)
- ID3 (алгоритм)
- ID3 algorithm
- ID3算法
- Iterative Dichotomiser 3
- m.069mc5
- Q1653378
- Αλγόριθμος ID3
- الگوریتم آیدی۳
- Subject
- Category:Articles with example pseudocode
- Category:Classification algorithms
- Category:Decision trees
- Thumbnail
- WasDerivedFrom
- ID3 algorithm?oldid=1111083600&ns=0
- WikiPageLength
- 11460
- Wikipage page ID
- 1966797
- Wikipage revision ID
- 1111083600
- WikiPageUsesTemplate
- Template:Cite book
- Template:Cite journal
- Template:Explain
- Template:Math
- Template:Short description
