: This package provides the demo implementation of CAPO (i.e. Classifier Adaptation for Performance measure Optimization), which takes a classifier adaptation approach to optimize the concerned performance measure (including AUC and all the performance measures based on the contingency table like F1-score and PRBEP). A readme file is included in the package.References
Nan Li, Ivor W. Tsang, Zhi-Hua Zhou. Efficient Optimization of Performance Measures by Classifier Adaptation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), in press.
: This package is free for academic usage. You can run it at your own risk. For other purposes, please contact Prof. Zhi-Hua Zhou (email@example.com). Requirement
: This package is developed with MATLAB, and it should be run on Windows.ATTN2
: This package was developed by Mr. Nan Li (firstname.lastname@example.org). The readme file and demo roughly explains how to use the codes. For any problem concerning the codes, please feel free to contact Mr. Li. Download