Planet Briefing

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A hybrid machine learning framework for predicting and profiling provincial poverty: Evidence from Indonesia

A journal article presents a hybrid machine learning framework developed to predict and profile poverty at the provincial level in Indonesia.

Foods at a market in Curup, Bengkulu, Indonesia.
Illustrative image: Foods at a market in Curup, Bengkulu, Indonesia. — sbamueller/Wikimedia Commons, CC BY-SA 2.0

Categories: economy-and-trade, technology, science-and-space

Generated scores

Scores are based on the cited reporting and use a 1–10 scale. Read the methodology.

Confidence
6/10
Geographic reach
4/10
Global importance
2/10
Impact magnitude
3/10
Positivity
5/10
Urgency
1/10

Why it matters

It provides predictive analysis focused on provincial poverty within Indonesia.

Location

Sources

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