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Classification and clustering using the dataset emotions.tab in Orange.

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emotions_Orange (Classification and clustering)

Created by Jesús García García - Master´s Degree in Big Data Analytics UEM

Made for a didactic purpose.

To analyze emotions.tab, a data transformation process was first performed, replacing the variables amazedsurprised, happy-pleased, relaxing-calm, quiet-still, sad-lonely and angry-aggresive by letters. I have used 3 classification models:

  1. Random Forest.
  2. Decision Tree.
  3. SVM.

The results obtained are the following:

  • SVM is the best model
  • Decision Tree is the worst model.

*You agree not to republish and copy partly or totally this project without express authorization from owner

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