Cost-Sensitive Feature Selection by Optimizing F-Measures
نویسندگان
چکیده
منابع مشابه
Optimizing F-Measures by Cost-Sensitive Classification
We present a theoretical analysis of F -measures for binary, multiclass and multilabel classification. These performance measures are non-linear, but in many scenarios they are pseudo-linear functions of the per-class false negative/false positive rate. Based on this observation, we present a general reduction of F measure maximization to cost-sensitive classification with unknown costs. We the...
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ژورنال
عنوان ژورنال: IEEE Transactions on Image Processing
سال: 2018
ISSN: 1057-7149,1941-0042
DOI: 10.1109/tip.2017.2781298