Keywords
Computer scienceArtificial intelligenceMachine learningSimple (philosophy)Basis (linear algebra)MathematicsEpistemology
Affiliated Institutions
Related Publications
A study of the behavior of several methods for balancing machine learning training data
There are several aspects that might influence the performance achieved by existing learning systems. It has been reported that one of these aspects is related to class imbalanc...
Scalable Techniques for Mining Causal Structures
. Mining for association rules in market basket data has proved a fruitful area of research. Measures such as conditional probability (confidence) and correlation have been used...
<b>ada</b>: An<i>R</i>Package for Stochastic Boosting
Boosting is an iterative algorithm that combines simple classification rules with "mediocre" performance in terms of misclassification error rate to produce a highly accurate cl...
Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction
For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the t...
A Practical Guide to Support Vector Classication
Support vector machine (SVM) is a popular technique for classication. However, beginners who are not familiar with SVM often get unsatisfactory results since they miss some easy...
Publication Info
- Year
- 1993
- Type
- article
- Volume
- 11
- Issue
- 1
- Pages
- 63-90
- Citations
- 1758
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
1758
OpenAlex
Cite This
Robert C. Holte
(1993).
Very Simple Classification Rules Perform Well on Most Commonly Used Datasets.
Machine Learning
, 11
(1)
, 63-90.
https://doi.org/10.1023/a:1022631118932
Identifiers
- DOI
- 10.1023/a:1022631118932