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Avoiding the look-ahead pathology of decision tree learning
Mark Last
, Michael Roizman
Faculty of Engineering Sciences
Research output
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Contribution to journal
›
Article
›
peer-review
5
Scopus citations
Overview
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Keyphrases
Decision Tree
100%
Decision Tree Learning
100%
Splitting Criterion
100%
Decision Tree Induction
100%
J48 Algorithm
100%
Popular
50%
Negative Effects
50%
Probability Distribution
50%
Selection Criteria
50%
Gain Ratio
50%
Validation Set
50%
Accurate Model
50%
Bounded Depth
50%
Benchmark Dataset
50%
C4.5 Algorithm
50%
Greedy Approach
50%
Attribute Selection
50%
Gini Coefficient
50%
Greedy Strategy
50%
Look-ahead Algorithm
50%
Bootstrap Process
50%
Tree Pathology
50%
Look-ahead Heuristics
50%
Weka
50%
Decision Tree Induction Algorithm
50%
Unknown Probabilities
50%
Computer Science
Decision Tree Induction
100%
Decision Tree
100%
Splitting Criterion
66%
Selection Criterion
33%
Validation Set
33%
Negative Effect
33%
Attribute Selection
33%
Greedy Strategy
33%
Probability
33%