Method evidence record
Online Naive Bayes
Online Naive Bayes is an incremental adaptation of the classical Naive Bayes classifier that updates its class-conditional statistics one observation (or one mini-batch) at a time, making it well suited to data streams, very large datasets that cannot be held in memory, and settings where the model must adapt continuously as new labeled examples arrive.
Evidence statusSources recorded, not reviewedBibliographic sources are present. Claim-level evidence review has not been performed.
Source record
Recorded
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
Online (Incremental) Naive Bayes Classifier
Taxonomic method recordml-modelmachine-learning
Open full method2 recorded citations, copied from the method source record.
Curated claims
Assessed
Claims persisted in the evidence ledger, each with its own assessment.
No curated claims yet
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Related methods
Suggested6
Generated from the method graph and shown as machine-suggested relations. No evidence claim is inferred.
- Taxonomic bucketLogistic regression (ML)
machine-suggestedRelational suggestion, not evidence.
- Same method familyNaive Bayes
machine-suggestedRelational suggestion, not evidence.
- Taxonomic bucketOnline Decision Tree
machine-suggestedRelational suggestion, not evidence.
- Taxonomic bucketOnline Learning
machine-suggestedRelational suggestion, not evidence.
- Taxonomic bucketOnline Logistic Regression
machine-suggestedRelational suggestion, not evidence.
- Taxonomic bucketSemi-supervised Naive Bayes
machine-suggestedRelational suggestion, not evidence.