DRAFT: This module has unpublished changes.
- Home
- Personal CV
- Research Proposal
- Chronic Research Journals
- Synthesis Paper
- Annotated Bibliography
- Presentations and Evaluations
- Previous Work
- Future Work
- Contact, Downloads, Test Subject Movie Trailers
- Autonomous Tomato Harvester (Ind.)
- Sonar Mapping (APL)
- The Story Template (Ind.)
- Interns of America (Ind.)
- Astrobot (NASA)
- Photo Gallery
- 2010-2011 Story Data
DRAFT: This module has unpublished changes.
DRAFT: This module has unpublished changes.
DRAFT: This module has unpublished changes.
The Story Template algorithm (the test group)’s categorical diagnosis of subjects: either classic or non-classic will be compared to the control group (the gold standard)’s classification of those same subjects. The Story Template Algorithm’s credibility will be assessed in terms of percent sensitivity, percent specificity, and percent accuracy. From there, a conclusion of the Story Template’s validity as a diagnostic test will be drawn and presented in a supplemental manuscript to be published in June 2010.
DRAFT: This module has unpublished changes.
Slide 26
The third graph: Accuracy: Differentiating Between Classics and Non-Classics shows that The Story Template algorithm correctly identified nine of the ten movies classified by the gold standard as classics or non-classics. The accuracy of The Story Template as a predictive test for stories was therefore 90% in this small sample size.
DRAFT: This module has unpublished changes.
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