Assignment Task

 

Question  - KNN 

In this question, you are required to implement a KNN classifier to predict the class of cancer clumps. The breast cancer dataset is used in this question. A detailed description of this data set can be found at 

Specifically, you need to:

  1. Split the data set into a training and a test set with the ratio of 7:3. 
  2. Implement KNN classifiers with different K values (from 1 to 15). 
  3. Investigate the impact of different K values (from 1 to 15) on the model performance (ACC) and the impacts of different distance measurements (Euclidean, Manhattan, Canberra, and Minkowski) on the model performance (ACC). Visualize and discuss your findings.
  4. Implement the Leave-one-out cross-validation for your KNN classifier with the best K value from the above steps.

 

 

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  • Uploaded By : William
  • Posted on : July 28th, 2019

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