Source: fAIrLAC, Inter-American Development Bank
URL: https://fairlac.iadb.org/en/sisben
Machine Learning Model Used:
"a machine learning model was applied (Quantile Gradient Boosting), which presented excellent results in the evaluation of methodologies for SISBEN classification."
SISBEN functions as a national survey designed to classify Colombia's population by socioeconomic status. The system identifies potential beneficiaries for social programs by evaluating living standards.
The SISBEN IV iteration can detect both income-based and multidimensional poverty indicators across the population.
The documentation indicates the Gradient Boosting approach demonstrated strong performance during methodology evaluation, though specific metrics are not detailed in the source material.