Introduction


Before completing this assignment, watch this short video

Download Weka: https://waikato.github.io/weka-wiki/downloading_weka/

Weka tutorial: https://www.youtube.com/watch?v=TF1yh5PKaqI

Your task


You have learned about the various components of machine learning, the different strategies for model selection and the popular metrics for performance evaluation.

In this activity, you are required to use another data set in Weka and evaluate the performance of a method. Report your findings and provide a brief explanation (200 words) in the discussion forum.

To demonstrate your understanding of the performance evaluation of classification models, use the iris data set and the ZeroR method to calculate the accuracy of predicting the class Iris-virginica. Your discussion should address the following two points:

  1. Is there any difference in the accuracy of predicting any of the three classes?
  2. If yes, why? If no, why not?

Guidelines


  • This discussion forum is  graded is worth 5% of your total grade for this module..
  • Your first post should be around 100 words.
  • Respond to at least one of your mates posts (50 words)
  • Please submit your post by Monday (22/02/2021) before 12:00 midday.
  • You should spend between one and two hours completing this activity