Iris classification use case

 

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In this training module, you create two Jobs. The first creates a classification model for Fisher's irises. The second uses the classification model on a new set of irises to test its accuracy.

 

Catalog

Big Data

Languages

EN

Format

Presentation, hands-on practices

Roles

Integration developer

Badge track

 

Learning plan

Talend Big Data Machine Learning

Hands-on tasks
  • Use the tNaiveBayesModel component to create a classification model 

  • Use the tPredict component to apply the classification model to a new dataset