Assignment Summary

Iris Classification

In this midweek assignment you code and interpret a nearest neighbors algorithm that classifies Iris’s (flower) using the following dataset. This is a common use case for nearest neighbors. You use multiple attributes of the flowers to decide which type of Iris they are. Analyze the data set, and answer the following.

  1. What was the overall accuracy of the model?
  2. What was the accuracy of each type of iris?
  3. Would you classify the model as a good model or not?

To get you started the code is provided in the video of Lesson 1-5 (data set is called from scikit package, sklearn.datasets in the code). The paper needs to be written in APA format and needs to be a minimum of 2 pages. Upload your markdown file as well. Any images that you want to use should be referenced in the appendix. 


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