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F1 score
Results: 49

#	Item
31	Eurographics Workshop on 3D Object Retrieval[removed]I. Pratikakis, M. Spagnuolo, T. Theoharis, and R. Veltkamp (Editors) SHREC’09 Track: Structural Shape Retrieval on Watertight Models Add to Reading List Source URL: www.itl.nist.gov Language: English - Date: 2009-05-05 09:54:43 Science Precision and recall Document retrieval F1 score Information science Information retrieval Statistics
32	296 HRIPCSAK, ROTHSCHILD, Agreement in Information Retrieval Technical Brief n Add to Reading List Source URL: www.ncbi.nlm.nih.gov Language: English Categorical data Inter-rater reliability Psychometrics Information retrieval Reliability Precision and recall Sensitivity and specificity Rating F1 score Statistics Biostatistics Bioinformatics
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 Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2011-02-23 10:48:06 Information Precision and recall F1 score Relevance Gain Recall IR evaluation Information science Information retrieval Science
34	THE HLTCOE APPROACH TO THE TREC 2012 KBA TRACK Brian Kjersten HLTCOE Johns Hopkins University Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2013-02-12 08:11:18 Natural language processing Information retrieval Machine learning Computational linguistics Precision and recall Text Retrieval Conference Document classification Support vector machine F1 score Statistics Science Information science
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 Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:20:14 Data mining Information retrieval Information science Precision and recall Receiver operating characteristic Curve F1 score Sensitivity and specificity Skewness Statistics Bioinformatics Biostatistics
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 Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2010-07-13 10:25:47 Information Information retrieval Bioinformatics Precision and recall 5G Eval Relevance F1 score Statistics Science Information science
37	Developing Supervised Machine Learning Methods for the Extraction of Maternal History Data from Neonatal Clinical Notes Add to Reading List Source URL: www.lhncbc.nlm.nih.gov Language: English - Date: 2014-03-06 12:28:04 Precision and recall Training set Classifier Support vector machine F1 score Information extraction Automatic summarization Statistics Machine learning Statistical classification
38	Richmond Journal of Law and Technology Vol. XVII, Issue 3 TECHNOLOGY-ASSISTED REVIEW IN E-DISCOVERY CAN BE MORE EFFECTIVE AND MORE EFFICIENT Add to Reading List Source URL: jolt.richmond.edu Language: English - Date: 2011-07-19 20:11:49 Precision and recall Relevance Text Retrieval Conference H5 Paul W. Grimm Document retrieval Search engine indexing F1 score Relevance feedback Information science Information retrieval Science
39	PDF Document Add to Reading List Source URL: lhncbc.nlm.nih.gov Language: English - Date: 2014-03-06 12:28:04 Precision and recall Training set Classifier Support vector machine F1 score Information extraction Automatic summarization Statistics Machine learning Statistical classification
40	More details available in the “Basic Results” Data Element Definitions. Baseline Characteristics Template Sept 11, 2012 Add to Reading List Source URL: prsinfo.clinicaltrials.gov Language: English - Date: 2014-03-11 16:44:01 Means Dispersion Precision and recall Deviation F1 score Arithmetic mean Statistics Summary statistics Statistical dispersion