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Smooth Receiver Operating Characteristics Curves (smROC)
Published on Oct 10, 20113646 Views
Supervised learning algorithms perform common tasks including classification, ranking, scoring, and probability estimation. We investigate how scoring information, often produced by these models, is
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Chapter list
Smooth Receiver Operating Characteristics Curves (smROC)00:00
Contribution01:34
Learning Tasks (1)02:24
Learning Tasks (2)02:49
Learning Tasks (3)03:02
Learning Tasks (4)03:35
Learning Tasks (5)04:00
Learning Tasks (6)04:58
Motivation08:59
Applications12:24
Methodology22:37
Methodology: Score Appropriateness27:08
Constructing the smROC Curve29:34
smAUC32:32
Experiment36:22
An Example: Movie Recommendation41:57
Similar PET Models42:19
Similar Naive Bayes Models42:54
PET & Naive Bayes Differences45:07
Conclusions & Future Plans46:50