About:
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.
Changes:
Updated license information
|
|
- Operating System:
Platform Independent,
Platform Agnostic
- Data Formats:
Binary
- Tags:
Ensembles,
Adaboost,
Boosting,
Ensemble Of Classifiers,
Ensemble Methods,
Ensemble Learning,
Ensemble Model,
Calibration,
Class Imbalance,
Cost Sensitive,
Minimum Expected Cost,
Risk Minimization
|
|
RSS Feed - Blog
