Bayesian Based ML

Naive Bayes

Input Data

*Target Data	Input Data
*Model Name	Name of the model
Output Name	Name of the output(optional)
Merge Data	If not empty, the prediction data will be stored in the selected data frame(optional)
*X	Independent variables one or more variables can be selected
*Y(factor)	Dependent variable Y allows only one factor variable. If the variable is not a factor type(e.g. integer or characters), convert it to a factor.

[Task Information of Naive Bayes]

Workflow Example

R-Flow Task Example Video - Naive Bayes

R Packages

Package name: e1071

method: naiveBayes

https://cran.r-project.org/web/packages/e1071/index.html