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DATA CLEAN-UP METHOD FOR IMPROVING PREDICTIVE MODEL TRAINING

发明专利审中
20权利要求 · 2 独立
§ Ⅰ

卷宗概要

IPC 分类

G6N 20/G6F 16/215G6N 5/4

CPC 分类

G6N20/G6F16/215G6N5/4

A method that improves the training of predictive models. Better trained predictive models make better predictions, and can classify transactions with reduced levels of false positives and false negative. Included is an apparatus for executing a data clean-up algorithm that harmonizes a wide range of real world supervised and unsupervised training data into a single, error-free, uniformly formatted record file that has every field coherent and well populated with information.

原文(中文)

A method that improves the training of predictive models. Better trained predictive models make better predictions, and can classify transactions with reduced levels of false positives and false negative. Included is an apparatus for executing a data clean-up algorithm that harmonizes a wide range of real world supervised and unsupervised training data into a single, error-free, uniformly formatted record file that has every field coherent and well populated with information.