handcrafted_classify_svm_rbf

handcrafted_classify_svm_rbf, a scikit-learn code which uses the support vector algorithm with RBF kernel on the handcrafted 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:

blob_classify_kernelized_svm, a scikit-learn code which uses a kernelized support vector machine to classify an artificial dataset of groups of "blobs".

forge_classify_svm, a scikit-learn code which uses the support vector machine (SVM) classifier to choose one of two classes for each of 26 items in the forge dataset, involving two features.

Reference:

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

Source Code:

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

• handcrafted_classify_svm_rbf_default.png, shows the data, decision boundary, and highlighted support vectors for default values of C and GAMMA.
• handcrafted_classify_svm_rbf_variations.png, shows the data and decision boundary for a table of values of C and GAMMA.