Projects that are tagged with risk minimization.
Code for Calibrated AdaMEC for binary cost-sensitive classification. The method is just AdaBoost that properly calibrates its probability estimates and uses a cost-sensitive (i.e. risk-minimizing) decision threshold to classify new data.
Initial Announcement on mloss.org.
- Operating System:
- Data Formats:
Ensemble Of Classifiers,
Minimum Expected Cost,