Invention Grant
- Patent Title: Interactive visualization of machine-learning performance
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Application No.: US14191033Application Date: 2014-02-26
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Publication No.: US09886669B2Publication Date: 2018-02-06
- Inventor: Saleema A. Amershi , Steven M. Drucker , Bongshin Lee , Patrice Yvon Rene Simard , Aparna Lakshmiratan , Carlos Garcia Jurado Suarez , Denis X. Charles , David G. Grangier , David Maxwell Chickering
- Applicant: MICROSOFT CORPORATION
- Applicant Address: US WA Redmond
- Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
- Current Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
- Current Assignee Address: US WA Redmond
- Agency: Shook, Hardy & Bacon L.L.P.
- Main IPC: G06N99/00
- IPC: G06N99/00 ; G06F3/048 ; G06K9/00 ; G06K9/62

Abstract:
Methods, computer systems, computer-storage media, and graphical user interfaces are provided for visualizing a performance of a machine-learned model. An interactive graphical user interface includes an item representation display area that displays a plurality of item representations corresponding to a plurality of items processed by the machine-learned model. The plurality of item representations are arranged according to scores assigned to the plurality of items by the machine-learned model. Further, each of the plurality of item representations is visually configured to represent a label assigned to a corresponding item.
Public/Granted literature
- US20150242761A1 INTERACTIVE VISUALIZATION OF MACHINE-LEARNING PERFORMANCE Public/Granted day:2015-08-27
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