Computer-based systems, computing components and computing objects configured to implement dynamic outlier bias reduction in machine learning models

#A portion of the disclosure of this patent document contains material that is subject to copyright protection. The copyright owner has no objection to the facsimile reproduction by anyone of the patent document or the patent disclosure, as it appears in the Patent and Trademark Office patent files or records, but otherwise reserves all copyright rights whatsoever. The following notice applies to the software and data as described below and in drawings that form a part of this document: Copyright, Hartford Steam Boiler Inspection and Insurance Company, All Rights Reserved.

#The present disclosure generally relates to improved computer-based systems, computing components and computing objects configured to implement bias reduction in machine learning models.

#A machine learning model may include one or more computers or processing devices to form predictions or determinations based on patterns and inferences learned from sample/training data. Bias in sample/training data selection can propagate into machine learning model predictions and determinations.

#Various embodiments of the present disclosure can be further explained with reference to the attached drawings, wherein like structures are referred to by like numerals throughout the several views. The drawings shown are not necessarily to scale, with emphasis instead generally being placed upon illustrating the principles of the present disclosure. Therefore, specific structural and functional details disclosed herein are not to be interpreted as limiting, but merely as a representative basis for teaching one skilled in the art to variously employ one or more illustrative embodiments.

#FIG. 1 depicts a block diagram of an exemplary computer-based system 100 for bias reduction in machine learning in accordance with one or more embodiments of the present disclosure.

#FIG. 2 depicts a block diagram of another exemplary computer-based system/platform 200 in accordance with one or more embodiments of the present disclosure.

#Various detailed embodiments of the present disclosure, taken in conjunction with the accompanying figures, are disclosed herein; however, it is to be understood that the disclosed embodiments are merely illustrative. In addition, each of the examples given in connection with the various embodiments of the present disclosure is intended to be illustrative, and not restrictive.

#Throughout the specification, the following terms take the meanings explicitly associated herein, unless the context clearly dictates otherwise. The phrases “in one embodiment” and “in some embodiments” as used herein do not necessarily refer to the same embodiment(s), though it may. Furthermore, the phrases “in another embodiment” and “in some other embodiments” as used herein do not necessarily refer to a different embodiment, although it may. Thus, as described below, various embodiments may be readily combined, without departing from the scope or spirit of the present disclosure.

#In addition, the term “based on” is not exclusive and allows for being based on additional factors not described, unless the context clearly dictates otherwise. In addition, throughout the specification, the meaning of “a,” “an,” and “the” include plural references. The meaning of “in” includes “in” and “on.”