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SYSTEM AND METHOD FOR AUTOMATICALLY GENERATING AND UPDATING CLASSIFICATION MODELS

发明专利审中
20权利要求 · 3 独立
§ Ⅰ

卷宗概要

发明人

Yonit MARCUS; Kiran Kumar BATHULA; Ankur PALIWAL

IPC 分类

G6N 20/

CPC 分类

G6N20/

A system and method for automatically training a machine learning model may include a computing device; a memory; and a processor, the processor configured to: use of one or more subgroups of decision variables of a first machine learning model to train one or more candidate models; evaluate performance metric of one or more candidate models against the first machine learning model: when the performance metric of one or more candidate models is higher than the performance metric of the first machine learning model, update the first machine learning model to a second machine learning model selected from one or more candidate models.

原文(中文)

A system and method for automatically training a machine learning model may include a computing device; a memory; and a processor, the processor configured to: use of one or more subgroups of decision variables of a first machine learning model to train one or more candidate models; evaluate performance metric of one or more candidate models against the first machine learning model: when the performance metric of one or more candidate models is higher than the performance metric of the first machine learning model, update the first machine learning model to a second machine learning model selected from one or more candidate models.