Statements (28)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:algorithm
gptkb:model |
| gptkbp:advantage |
fast to train
works with small datasets |
| gptkbp:assumes |
features are independent
features follow a normal distribution |
| gptkbp:basedOn |
gptkb:Bayes_theorem
|
| gptkbp:category |
supervised learning
|
| gptkbp:commonDataset |
gptkb:Iris_dataset
gptkb:MNIST_dataset |
| https://www.w3.org/2000/01/rdf-schema#label |
Gaussian Naive Bayes
|
| gptkbp:implementedIn |
gptkb:Weka
gptkb:scikit-learn R |
| gptkbp:introducedIn |
statistical pattern recognition
|
| gptkbp:limitation |
assumes feature independence
assumes normal distribution |
| gptkbp:output |
probability of class membership
|
| gptkbp:parameter |
mean
variance |
| gptkbp:relatedTo |
gptkb:Bernoulli_Naive_Bayes
gptkb:Multinomial_Naive_Bayes |
| gptkbp:usedFor |
gptkb:dictionary
diagnosis text classification spam detection |
| gptkbp:bfsParent |
gptkb:Naive_Bayes
|
| gptkbp:bfsLayer |
7
|