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.
The suplementary material can be found in icdm2016.
- Numpy - NumPy is the fundamental package for scientific computing with Python.
- 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