Confidence-based Tuning of Nomogram Predictions
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Summary
Preliminary results indicating a modest, albeit inconsistent improvement over the naive Bayes classifier alone are presented, and prediction functions operate over nominal datasets and retain the asymptotic complexity of one-pass learning and Prediction functions.
- Type
- article
- Published
- 2009-03-17
- Cited by
- 0
- References
- 6
- OpenAlex
- https://openalex.org/W7465187
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:10016966
Keywords
Naive Bayes classifier, Machine learning, Computer science, Artificial intelligence, Classifier (UML)
References
- The Optimality of Naive Bayes
- Artificial intelligence: a modern approach
- UCI Machine Learning Repository
- Data Mining: Practical Machine Learning Tools and Techniques
- Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
- Nomograms for Visualization of Naive Bayesian Classifier
- Data mining - practical machine learning tools and techniques, Second Edition
- Orange: From Experimental Machine Learning to Interactive Data Mining
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