Systems and methods for automated machine learning model training quality control

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United States of America Patent

PATENT NO 11875706
APP PUB NO 20190258900A1
SERIAL NO

16281014

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ATTORNEY / AGENT: (SPONSORED)

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Abstract

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Systems and methods for automated custom training of a scoring model are disclosed herein. The method include: receiving a plurality of responses received from a plurality of students in response to providing of a prompt; identifying an evaluation model relevant to the provided prompt, which evaluation model can be a machine learning model trained to output a score relevant to at least portions of a response; generating a training indicator that provides a graphical depiction of the degree to which the identified evaluation model is trained; determining a training status of the model; receiving at least one evaluation input when the model is identified as insufficiently trained; updating training of the evaluation model based on the at least one received evaluation input; and controlling the training indicator to reflect the degree to which the evaluation model is trained subsequent to the updating of the training of the evaluation model.

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Patent Owner(s)

Patent OwnerAddress
PEARSON EDUCATION INCONE LAKE STREET UPPER SADDLE RIVER NJ 07458

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Baikadi, Alok Boulder, US 10 52
Becker, Lee Boulder, US 33 504
Budden, Jill Boulder, US 5 36
Foltz, Peter Boulder, US 13 82
Habermehl, Kyle Niwot, US 9 80
Hellman, Scott Dallas, US 17 158
Hopkins, Stephen Huntington Station, US 6 31
Rosenstein, Mark Boulder, US 9 348

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