GitHub topics: store-selection
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.
Language: Jupyter Notebook - Size: 34.2 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
Related Keywords
business-analytics
1
business-decisions
1
composite-indicator
1
decision-analysis
1
feature-extraction-algorithm
1
machine-learning
1
mcda
1
ml-pipeline
1
model-development
1
multi-criteria-decision-making
1
predictive-modeling
1
proxy-model
1
scoring-algorithm
1
site-selection
1
store-selection
1
topsis
1