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Code

Background Check

This is a framework to create and evaluate classifier models with confidence levels.

For a better explanation of the method go to the official web-page of the paper.

Supplementary material

The suplementary material can be found in icdm2016.

Dependencies

  • Numpy - NumPy is the fundamental package for scientific computing with Python.

Todos

  • Evaluate classifier with confidence given two thresholds
  • Evaluate classifier with confidence with volume under the Precision Recall Gain and ROC curve
  • Select optimal threshold for given deployment specification

License

MIT