Statements (27)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:model
statistical classifier |
| gptkbp:advantage |
fast training
simple implementation works with small data |
| gptkbp:assumes |
feature independence
|
| gptkbp:basedOn |
gptkb:Bayes'_theorem
|
| gptkbp:category |
gptkb:algorithm
supervised learning |
| gptkbp:hasVariant |
gptkb:Bernoulli_naive_Bayes
gptkb:Gaussian_naive_Bayes gptkb:Multinomial_naive_Bayes |
| https://www.w3.org/2000/01/rdf-schema#label |
naive Bayes
|
| gptkbp:introducedIn |
1960s
|
| gptkbp:limitation |
assumes feature independence
may perform poorly with correlated features |
| gptkbp:output |
probability of class membership
|
| gptkbp:relatedTo |
Bayesian statistics
conditional probability maximum likelihood estimation |
| gptkbp:type |
probabilistic classifier
|
| gptkbp:usedFor |
spam filtering
sentiment analysis text classification document categorization |
| gptkbp:bfsParent |
gptkb:Scikit-learn
|
| gptkbp:bfsLayer |
5
|