Statements (24)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:algorithm
gptkb:model |
| gptkbp:assumes |
features are conditionally independent
features follow multinomial distribution |
| gptkbp:basedOn |
gptkb:Bayes_theorem
|
| gptkbp:category |
supervised learning
|
| gptkbp:commonIn |
gptkb:NLTK
gptkb:scikit-learn |
| https://www.w3.org/2000/01/rdf-schema#label |
multinomial naive Bayes
|
| gptkbp:input |
discrete features
|
| gptkbp:introducedIn |
1960s
|
| gptkbp:output |
class probabilities
|
| gptkbp:powers |
efficient for large datasets
|
| gptkbp:relatedTo |
gptkb:Bernoulli_naive_Bayes
gptkb:Gaussian_naive_Bayes |
| gptkbp:requires |
labeled data
|
| gptkbp:usedFor |
spam filtering
text classification document categorization |
| gptkbp:weakness |
assumes feature independence
not suitable for continuous data |
| gptkbp:bfsParent |
gptkb:Bernoulli_naive_Bayes
gptkb:Gaussian_naive_Bayes |
| gptkbp:bfsLayer |
7
|