forge_classify_knn

forge_classify_knn, a scikit-learn code which uses the k-nearest neighbor algorithm to choose one of two classes for each of 26 items in the forge dataset, involving two features.

Licensing:

The computer code and data files described and made available on this web page are distributed under the MIT license

Related Data and Programs:

Reference:

• Andreas Mueller, Sarah Guido,
  Introduction to Machine Learning with Python,
  OReilly, 2017,
  ISBN: 978-1-449-36941-5

Source Code:

• forge_classify_knn.py, the source code.
• forge_classify_knn.sh, runs the script.
• forge_classify_knn.txt, the output file.

• forge_classify_boundary.png, shows the decision boundary when using 1, 3 or 9 neighbors.
• forge_classify_data.png, shows the data.
• forge_classify_k1.png, shows the classification with k = 1.
• forge_classify_k3.png, shows the classification with k = 3.