- Patent Title: Optimizing data processing and feature selection for model training
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Application No.: US16731555Application Date: 2019-12-31
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Publication No.: US11615347B2Publication Date: 2023-03-28
- Inventor: Lichao Liu , Xuyao Hao , Zhanghao Hu
- Applicant: PAYPAL, INC.
- Applicant Address: US CA San Jose
- Assignee: PAYPAL, INC.
- Current Assignee: PAYPAL, INC.
- Current Assignee Address: US CA San Jose
- Agency: Haynes and Boone, LLP
- Main IPC: G06F9/44
- IPC: G06F9/44 ; G06N20/20 ; G06F11/34 ; G06N3/04

Abstract:
A method includes training a first machine learning model based on a set of training data and based on the training, determining a first performance metric corresponding to the first machine learning model. The method also includes determining one or more past performance metrics corresponding to one or more machine learning models that were previously trained based on the set of training data. Based on the first performance metric and the one or more past performance metrics, the method includes automatically selecting a second machine learning model to train based on the set of training data.
Public/Granted literature
- US20210201206A1 Optimizing Data Processing and Feature Selection for Model Training Public/Granted day:2021-07-01
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