SXI is a dynamic score/index obtained from a proprietary formula consisting of weights from 5–10 ML algorithms [1]. SXI is a super feature and is a true weighted representative of all important features which converts a multi-dimensional hard-to-solve problem into a simpler 2-dimensional solution. SXI with Proprietary Deep Neural Network algorithm involves an iterative approach where it dynamically adjusts algorithm weights based on the most significant weights provided by the 5–10 ML algorithms. This process aims to enhance the correlation between SXI scores and business outcomes, thereby improving accuracy and delineation.

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Introducing Sriya Expert Index (SXI): The Technology that Powers the LNM

  • Srinivas Kilambi,
  • Mahesh Banavar

摘要

SXI is a dynamic score/index obtained from a proprietary formula consisting of weights from 5–10 ML algorithms [1]. SXI is a super feature and is a true weighted representative of all important features which converts a multi-dimensional hard-to-solve problem into a simpler 2-dimensional solution. SXI with Proprietary Deep Neural Network algorithm involves an iterative approach where it dynamically adjusts algorithm weights based on the most significant weights provided by the 5–10 ML algorithms. This process aims to enhance the correlation between SXI scores and business outcomes, thereby improving accuracy and delineation.