cancer_classify_gradboost

cancer_classify_gradboost, a scikit-learn code which uses the gradient boosting algorithm to classify the breast cancer dataset.

Licensing:

The information on this web page is distributed under the MIT license.

Related Data and Programs:

cancer_classify_gradboost, a scikit-learn code which uses the gradient boosting algorithm to classify the breast cancer dataset.

iris_classify_gradboost, a scikit-learn code which uses the gradient boost algorithm to classify the iris dataset, and then determines the prediction uncertainties.

Reference:

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

Source Code:

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

• circle_classify_gradboost_1.png
• circle_classify_gradboost_2.png