An evaluation of heuristics for rule ranking

作者：Dreiseitl Stephan^*; Osl Melanie; Baumgartner Christian; Vinterbo Staal

来源：Artificial Intelligence in Medicine, 2010, 50(3): 175-180.

DOI：10.1016/j.artmed.2010.03.005

• Rule ranking
• Rule evaluation metrics
• Lung cancer
• Prostate cancer

Objective To evaluate and compare the performance of different rule-ranking algorithms for rule-based classifiers on biomedical datasets
Methodology Empirical evaluation of five rule ranking algorithms on two biomedical datasets with performance evaluation based on ROC analysis and 5 x 2 cross-validation
Results On a lung cancer dataset the area under the ROC curve (AUC) of on average 14267 1 rules was 0 862 Multi-rule ranking found 133 rules with an AUC of 0 852 Four single-rule ranking algorithms using the same number of rules achieved average AUC values of 0 830 0 823 0 823 and 0 822 respectively On a prostate cancer dataset an average of 339265 3 rules had an AUC of 0 934 while 94 rules obtained from multi-rule and single-rule rankings had average AUCs of 0 932 0 926 0 925 0 902 and 0 902 respectively
Conclusion Multi-variate rule ranking performs better than the single-rule ranking algorithms Both singl

• 出版日期2010-11