Statements (28)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:model
statistical classifier |
| gptkbp:advantage |
simple to implement
fast to train works well with high-dimensional data |
| gptkbp:assumes |
feature independence
|
| gptkbp:basedOn |
gptkb:Bayes'_theorem
|
| gptkbp:category |
supervised learning
|
| https://www.w3.org/2000/01/rdf-schema#label |
naive Bayes classifier
|
| gptkbp:input |
feature vector
|
| gptkbp:introducedIn |
1960s
|
| gptkbp:limitation |
assumes independence between features
can perform poorly with correlated features |
| gptkbp:output |
probability of class membership
|
| gptkbp:relatedTo |
gptkb:tree
support vector machine logistic regression |
| gptkbp:type |
generative model
|
| gptkbp:usedFor |
gptkb:dictionary
spam filtering sentiment analysis document classification text categorization |
| gptkbp:variant |
gptkb:Bernoulli_naive_Bayes
gptkb:Gaussian_naive_Bayes gptkb:Multinomial_naive_Bayes |
| gptkbp:bfsParent |
gptkb:Gaussian_naive_Bayes
|
| gptkbp:bfsLayer |
7
|