Invention Grant
- Patent Title: Data blaming
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Application No.: US16357064Application Date: 2019-03-18
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Publication No.: US11455551B2Publication Date: 2022-09-27
- Inventor: William Redington Hewlett, II , Seokkyung Chung , Lin Xu
- Applicant: Palo Alto Networks, Inc.
- Applicant Address: US CA Santa Clara
- Assignee: Palo Alto Networks, Inc.
- Current Assignee: Palo Alto Networks, Inc.
- Current Assignee Address: US CA Santa Clara
- Agency: Van Pelt, Yi & James LLP
- Main IPC: G06N5/04
- IPC: G06N5/04 ; G06N20/00 ; G06N20/20 ; G06N20/10 ; G06N5/00

Abstract:
An identification of an item that was misclassified by a classification model constructed in accordance with a machine learning technique is received. One example of such a machine learning technique is a random forest. A subset of training data, previously used to construct the model, and that is associated with the misclassified item is identified. At least a portion of the identified subset is provided as output.
Public/Granted literature
- US20190213489A1 Data blaming Public/Granted day:2019-07-11
Information query