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  • Naive Bayes
  • Input Data
  • Workflow Example
  • R Packages

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  1. R
  2. Machine Learning

Bayesian Based ML

PreviousInformation based MLNextClustering

Last updated 3 years ago

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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.

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

[Task Information of Naive Bayes]