SYSTEM AND METHOD FOR AUTOMATED UNDERWRITING FOR APPLICATION PROCESSING USING MACHINE LEARNING MODELS
Embodiments of the present disclosure may include an application processing system including at least one processor and at least one memory configured to implement a deployed learning model, the deployed learning model generated via training a set of N machine learning models using a dataset of labe...
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Main Authors | , , |
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Format | Patent |
Language | English |
Published |
01.08.2024
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Subjects | |
Online Access | Get full text |
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Summary: | Embodiments of the present disclosure may include an application processing system including at least one processor and at least one memory configured to implement a deployed learning model, the deployed learning model generated via training a set of N machine learning models using a dataset of labelled features and values gathered across a network from input on an electronic user interface relating to applications. In some embodiments, the labelled features indicates a processing metric for the dataset, the dataset split into N folds for predicting straight through processing, each model trained on all but one fold of the dataset and tested on other remaining fold of the dataset. In some embodiments, the models may be tested on non-overlapping datasets and repeated until all models may be trained and deployed for determining straight through processing of new incoming applications. |
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Bibliography: | Application Number: US202418429050 |