wave_regression_knn

wave_regression_knn, a scikit-learn code which uses the k-nearest neighbor algorithm to form a regression predictor for the wave dataset.

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:

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

• wave_regression_all.png
• wave_regression_data.png
• wave_regression_k1.png
• wave_regression_k3.png