Statements (29)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:algorithm
gptkb:model |
| gptkbp:assumes |
feature independence
features are binary |
| gptkbp:basedOn |
gptkb:Bayes'_theorem
|
| gptkbp:category |
supervised learning
|
| gptkbp:featureType |
binary
|
| gptkbp:field |
gptkb:machine_learning
statistics |
| https://www.w3.org/2000/01/rdf-schema#label |
Bernoulli naive Bayes
|
| gptkbp:implementedIn |
gptkb:Weka
gptkb:scikit-learn R |
| gptkbp:input |
binary/boolean features
|
| gptkbp:limitation |
assumes feature independence
not suitable for non-binary features performance drops if independence assumption is violated |
| gptkbp:namedAfter |
gptkb:Jacob_Bernoulli
|
| gptkbp:output |
class label
|
| gptkbp:powers |
fast to train
works well with high-dimensional data |
| gptkbp:probabilityModel |
gptkb:Bernoulli_distribution
|
| gptkbp:relatedTo |
gptkb:Gaussian_naive_Bayes
gptkb:multinomial_naive_Bayes |
| gptkbp:usedFor |
text classification
spam detection document classification |
| gptkbp:bfsParent |
gptkb:naive_Bayes
|
| gptkbp:bfsLayer |
6
|