@inproceedings{2e68a1d554f04e1aa66d486dd1a48c53,
title = "F-score-like measure: A new measure for spam filtering",
abstract = "Logistic average misclassification percentage (lam\%) and I-AVC(area under the ROC curve) are two important and wildly adopted measures. This paper demonstrates that a spam filter can achieve a perfect 0.00\% in lam\%, the minimal value in theory, by simply setting a biased threshold during the classifier modeling. At the same time, I-AVC is left untouched; and the overall classification performance reaches only a low accuracy. This means that lam\% and I-AVC as main measures for spam filtering are not suitable. To solve the problem of measuring spam filtering, F-score-like measure based on ham and spam misclassification is proposed to be a single measure for spam filtering evaluation.",
keywords = "Evaluation measure, F-score-like measure, I-AVC, Logistic average misclassification percentage, Spam filter",
author = "Yong Han and Qi, \{Hao Liang\} and Yang, \{Mu Yun\}",
year = "2012",
doi = "10.1109/ICMLC.2012.6359691",
language = "英语",
isbn = "9781467314855",
series = "Proceedings - International Conference on Machine Learning and Cybernetics",
pages = "2047--2051",
booktitle = "Proceedings of 2012 International Conference on Machine Learning and Cybernetics, ICMLC 2012",
note = "2012 International Conference on Machine Learning and Cybernetics, ICMLC 2012 ; Conference date: 15-07-2012 Through 17-07-2012",
}