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

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.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mazba-ahamad%2FGenerating-Composite-Proxy-Target-Variable-for-Machine-Learning-Models-of-Business-Decisions

Stars: 1
Forks: 0
Open issues: 0

License: mit
Language: Jupyter Notebook
Size: 34.2 KB
Dependencies parsed at: Pending

Created at: over 2 years ago
Updated at: over 2 years ago
Pushed at: over 2 years ago
Last synced at: about 2 years ago

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

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