Statements (28)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:algorithm
gptkb:model |
| gptkbp:advantage |
fast training
assumes feature independence assumes normal distribution works with small datasets |
| gptkbp:assumes |
features are independent
features follow a Gaussian distribution |
| gptkbp:basedOn |
gptkb:Bayes_theorem
|
| gptkbp:category |
supervised learning
|
| gptkbp:form |
gptkb:model
|
| https://www.w3.org/2000/01/rdf-schema#label |
Gaussian naive Bayes
|
| gptkbp:implementedIn |
gptkb:Weka
gptkb:scikit-learn R |
| gptkbp:input |
continuous data
|
| gptkbp:introducedIn |
statistical pattern recognition
|
| gptkbp:output |
class labels
|
| gptkbp:relatedTo |
gptkb:Bernoulli_naive_Bayes
gptkb:multinomial_naive_Bayes gptkb:naive_Bayes_classifier |
| gptkbp:requires |
mean and variance estimation
|
| gptkbp:usedFor |
gptkb:dictionary
diagnosis spam detection document classification |
| gptkbp:bfsParent |
gptkb:naive_Bayes
|
| gptkbp:bfsLayer |
6
|