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Generalized Agreement Statistics over Fixed Group of Experts
Published on Nov 30, 20112584 Views
Generalizations of chance corrected statistics to measure interexpert agreement on class label assignments to the data instances have traditionally relied on the marginalization argument over a variab
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Chapter list
Generalized Agreement Statistics over Fixed Set of Experts00:00
Background and Settings00:23
Many such scenarios00:54
An Example01:16
Another Example01:43
An example 02:04
Two Problems - 102:13
Two Problems - 202:25
General Agreement Statistic - 103:13
General Agreement Statistic - 203:30
Modus operandi04:40
Problem04:54
Back to the agreement statistic06:10
Traditional Approaches: Inter-expert Agreement - 106:37
Traditional Approaches: Inter-expert Agreement - 208:10
Traditional Approaches: Inter-expert Agreement - 308:38
Not applicable in fixed rater scenario09:13
Inter-rater agreement over fixed set of raters09:41
Approach - 109:48
Approach - 210:05
Approach - 310:27
Inter-rater Agreement: Fixed rater scenario10:33
Simulations on synthetic data - 110:41
Simulations on synthetic data - 211:20
Simulations on synthetic data - 311:31
Simulations on synthetic data - 411:43
Simulations on UCI data11:53
Inter-rater Agreement Conclusions: An upper bound on the variability12:00
Agreement of a classifier against a group: Two Traditional Approaches12:15
Marginalization Approach and Issues in Fixed experts setting - 112:56
Marginalization Approach and Issues in Fixed experts setting - 212:57
Marginalization Approach and Issues in Fixed experts setting - 312:58
Consensus Approach and Issues12:58
Consensus approach fails in assessing classifier performance13:26
Agreement against Fixed Experts’ group - 113:43
Agreement against Fixed Experts’ group - 213:54
Agreement against Fixed Experts’ group - 314:00
Agreement against Fixed Experts’ group - 414:12
Agreement against Fixed Experts’ group - 514:34
Agreement against silver standard - 114:58
Agreement against silver standard - 215:28
Agreement against silver standard - 315:48
Conclusion15:58
Importance of time travel17:13
Thank You17:22