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CAPO

Description: 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.



ATTN: This package is free for academic usage. You can run it at your own risk. For other purposes, please contact Prof. Zhi-Hua Zhou (zhouzh@nju.edu.cn).

Requirement: This package is developed with MATLAB, and it should be run on Windows.

ATTN2: This package was developed by Mr. Nan Li (lin@lamda.nju.edu.cn). 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: [code] (266Kb)

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