File:ROC general.svg
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Size of this PNG preview of this SVG file: 676 × 496 pixels. Other resolutions: 320 × 235 pixels | 640 × 470 pixels | 1,024 × 751 pixels | 1,280 × 939 pixels | 2,560 × 1,878 pixels.
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Summary
[edit]DescriptionROC general.svg |
English: This image shows an interpretation of a receiver operator characteristic (ROC) curve as the degree of separation between two gaussian distributions, where the perpendicular line marks the decision point. The positive diagnosis lies to the right of the perpendicular, and the negative diagnosis lies to the left. |
Date | |
Source | I created this file using Inkscape. The image is an svg render of a png image on wikipedia that was released under Creative Commons Attribution-ShareAlike 3.0. http://en.wikipedia.org/wiki/File:Roc-general.png |
Author | dreidpath |
Other versions | http://en.wikipedia.org/wiki/File:Roc-general.png |
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[edit]I, the copyright holder of this work, hereby publish it under the following licenses:
Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the section entitled GNU Free Documentation License.http://www.gnu.org/copyleft/fdl.htmlGFDLGNU Free Documentation Licensetruetrue |
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Date/Time | Thumbnail | Dimensions | User | Comment | |
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current | 01:06, 24 November 2009 | 676 × 496 (29 KB) | Dreidpath~commonswiki (talk | contribs) | Changed the colour of the two arrows so that they were consistent | |
05:17, 23 November 2009 | 676 × 496 (28 KB) | Dreidpath~commonswiki (talk | contribs) | A small correction to an arrow with a wandering point. | ||
04:48, 23 November 2009 | 676 × 496 (25 KB) | Dreidpath~commonswiki (talk | contribs) | {{Information |Description={{en|1=This image shows an interpretation of a receiver operator characteristic (ROC) curve as the degree of separation between two gaussian distributions, where the perpendicular line marks the decision point. The positive diag |
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