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33![1 Common Evaluation Measures • Recall A measure of the ability of a system to present all relevant items. recall = number of relevant items retrieved 1 Common Evaluation Measures • Recall A measure of the ability of a system to present all relevant items. recall = number of relevant items retrieved](https://www.pdfsearch.io/img/68e48dafade5c50cc94edb410d42242a.jpg) | Add to Reading ListSource URL: trec.nist.govLanguage: English - Date: 2011-02-23 10:48:06
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34![THE HLTCOE APPROACH TO THE TREC 2012 KBA TRACK Brian Kjersten HLTCOE Johns Hopkins University THE HLTCOE APPROACH TO THE TREC 2012 KBA TRACK Brian Kjersten HLTCOE Johns Hopkins University](https://www.pdfsearch.io/img/e731fa771da6ca121953235ef88e0f70.jpg) | Add to Reading ListSource URL: trec.nist.govLanguage: English - Date: 2013-02-12 08:11:18
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35![Unachievable Region in Precision-Recall Space and Its Effect on Empirical Evaluation Kendrick Boyd [removed] University of Wisconsin – Madison, 1300 University Avenue, Madison, WI[removed]USA Unachievable Region in Precision-Recall Space and Its Effect on Empirical Evaluation Kendrick Boyd [removed] University of Wisconsin – Madison, 1300 University Avenue, Madison, WI[removed]USA](https://www.pdfsearch.io/img/af2dcb37d3acd03c46cf074a65d0606e.jpg) | Add to Reading ListSource URL: icml.ccLanguage: English - Date: 2012-06-07 13:20:14
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36![Per-Topic Scores: TREC 2009 Legal Track, Interactive Task This Appendix reports scores, both message-based and document-based, and both pre-adjudicated and post-adjudicated, for the experimental runs submitted for the 7 Per-Topic Scores: TREC 2009 Legal Track, Interactive Task This Appendix reports scores, both message-based and document-based, and both pre-adjudicated and post-adjudicated, for the experimental runs submitted for the 7](https://www.pdfsearch.io/img/de6f8372e3a9a54d6551cdb54f5a2138.jpg) | Add to Reading ListSource URL: trec.nist.govLanguage: English - Date: 2010-07-13 10:25:47
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37![Developing Supervised Machine Learning Methods for the Extraction of Maternal History Data from Neonatal Clinical Notes Developing Supervised Machine Learning Methods for the Extraction of Maternal History Data from Neonatal Clinical Notes](https://www.pdfsearch.io/img/6ff2860b8dcb62206bf403b7f621c564.jpg) | Add to Reading ListSource URL: www.lhncbc.nlm.nih.govLanguage: English - Date: 2014-03-06 12:28:04
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38![Richmond Journal of Law and Technology Vol. XVII, Issue 3 TECHNOLOGY-ASSISTED REVIEW IN E-DISCOVERY CAN BE MORE EFFECTIVE AND MORE EFFICIENT Richmond Journal of Law and Technology Vol. XVII, Issue 3 TECHNOLOGY-ASSISTED REVIEW IN E-DISCOVERY CAN BE MORE EFFECTIVE AND MORE EFFICIENT](https://www.pdfsearch.io/img/1e49dbe1e93a58be79aa5c35843ee61d.jpg) | Add to Reading ListSource URL: jolt.richmond.eduLanguage: English - Date: 2011-07-19 20:11:49
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39![](https://www.pdfsearch.io/img/8befcdf76b15f4abf21b6a457a7077ad.jpg) | Add to Reading ListSource URL: lhncbc.nlm.nih.govLanguage: English - Date: 2014-03-06 12:28:04
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40![More details available in the “Basic Results” Data Element Definitions. Baseline Characteristics Template Sept 11, 2012 More details available in the “Basic Results” Data Element Definitions. Baseline Characteristics Template Sept 11, 2012](https://www.pdfsearch.io/img/417919c794176e311c00274c55484f1c.jpg) | Add to Reading ListSource URL: prsinfo.clinicaltrials.govLanguage: English - Date: 2014-03-11 16:44:01
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