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Change Log

Version 0.6 (2020-04-11)

  • Fix issue with sklearn.cross_validation
  • New Cost-Sensitive Churn dataset
  • Introduction to Example-Dependent Cost-Sensitive Classification
  • Slides costcla for fraud detection

Version 0.5 (2016-01-29)

  • Support of Python 3.5

Version 0.4 (2015-05-26)

  • Documentation
  • Cost-sensitive Decision Trees algorithm
  • Cost-sensitive Ensemble methods
  • Tutorial CS Credit Scoring
  • Slides CS Credit Scoring

Version 0.03 (2014-09-19)

  • Initial public release
  • Include the cost-sensitive algorithms:
    • Bayes minimum risk classifier
    • Cost-sensitive Logistic Regression
    • Cost-sensitive Thresholding
  • Sampling techniques:
    • Cost-proportionate sampling methods
    • SMOTE
    • under-sampling
  • ROCCH probability calibration
  • Evaluation metrics
  • Cost-sensitive datasets:
    • Direct Marketing
    • Kaggle11 Credit Scoring
    • PAKDD09 Credit Scoring