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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.
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.

