EFFICIENCY DRIVEN DATA COLLECTION AND MACHINE LEARNING MODELING RECOMMENDATION

A machine learning assessment system is provided. The system identifies multiple datasets and multiple machine learning (ML) modeling algorithms based on the client profile. The system assesses a cost of data collection for each dataset of the multiple datasets. The system assesses a performance met...

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Bibliographic Details
Main Authors Zeng, Sai, Staffelbach, Matthew, Modh, Manish Mahesh, Zarifoglu, Emrah, Mohamed Iyoob, Umar, Duan, Jun, Dumba, Braulio Gabriel
Format Patent
LanguageEnglish
Published 28.10.2021
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Summary:A machine learning assessment system is provided. The system identifies multiple datasets and multiple machine learning (ML) modeling algorithms based on the client profile. The system assesses a cost of data collection for each dataset of the multiple datasets. The system assesses a performance metric for each ML modeling algorithm of the multiple modeling algorithms. The system recommends a dataset from the multiple datasets and an ML modeling algorithm from the multiple ML modeling algorithm based on the assessed costs of data collection for the multiple datasets and the assessed performance metrics for the multiple ML modeling algorithms.
Bibliography:Application Number: US202016858657