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store-selection

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mazba-ahamad / Generating-Composite-Proxy-Target-Variable-for-Machine-Learning-Models-of-Business-Decisions

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A multi-criteria decision analysis (MCDA)-based composite proxy target variable generation technique for business decision modeling that uses relevant features or independent variables conceptually related to the intended target variable.

machine-learning proxy-model predictive-modeling decision-analysis site-selection mcda topsis business-analytics model-development scoring-algorithm ml-pipeline feature-extraction-algorithm multi-criteria-decision-making business-decisions composite-indicator store-selection
  • Updated Dec 3, 2022
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