Use of Boosting Algorithms in Household-Level Poverty Measurement: A Machine Learning Approach to Predict and Classify Household Wealth Quintiles in the Philippines
Fuente:
arXiv
Saved in:
| Main Author: | Salvador, Erika Lynet |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Deep Generative Framework for Joint Households and Individuals Population Synthesis
by: Qian, Xiao, et al.
Published: (2024)
by: Qian, Xiao, et al.
Published: (2024)
Deep Contrastive Learning for Feature Alignment: Insights from Housing-Household Relationship Inference
by: Qian, Xiao, et al.
Published: (2025)
by: Qian, Xiao, et al.
Published: (2025)
A Comparative Analysis of Wealth Index Predictions in Africa between three Multi-Source Inference Models
by: Karsai, Márton, et al.
Published: (2024)
by: Karsai, Márton, et al.
Published: (2024)
Boosting Fair Classifier Generalization through Adaptive Priority Reweighing
by: Hu, Zhihao, et al.
Published: (2023)
by: Hu, Zhihao, et al.
Published: (2023)
Delete My Account: Impact of Data Deletion on Machine Learning Classifiers
by: Dam, Tobias, et al.
Published: (2023)
by: Dam, Tobias, et al.
Published: (2023)
Disparate Conditional Prediction in Multiclass Classifiers
by: Sabato, Sivan, et al.
Published: (2022)
by: Sabato, Sivan, et al.
Published: (2022)
Machine Learning Algorithms for Detecting Mental Stress in College Students
by: Singh, Ashutosh, et al.
Published: (2024)
by: Singh, Ashutosh, et al.
Published: (2024)
BoostFGL: Boosting Fairness in Federated Graph Learning
by: Chen, Zekai, et al.
Published: (2026)
by: Chen, Zekai, et al.
Published: (2026)
Using a Binary Classification Model to Predict the Likelihood of Enrolment to the Undergraduate Program of a Philippine University
by: Esquivel, Dr. Joseph A., et al.
Published: (2020)
by: Esquivel, Dr. Joseph A., et al.
Published: (2020)
Gated-Attention Feature-Fusion Based Framework for Poverty Prediction
by: Ramzan, Muhammad Umer, et al.
Published: (2024)
by: Ramzan, Muhammad Umer, et al.
Published: (2024)
Predicting and Understanding College Student Mental Health with Interpretable Machine Learning
by: Chowdhury, Meghna Roy, et al.
Published: (2025)
by: Chowdhury, Meghna Roy, et al.
Published: (2025)
Machine Learning-Driven Student Performance Prediction for Enhancing Tiered Instruction
by: Chen, Yawen, et al.
Published: (2025)
by: Chen, Yawen, et al.
Published: (2025)
Peoples Water Data: Enabling Reliable Field Data Generation and Microbial Contamination Screening in Household Drinking Water
by: Kagan, Suzan, et al.
Published: (2026)
by: Kagan, Suzan, et al.
Published: (2026)
Development and Validation of a Machine Learning Algorithm for Clinical Wellness Visit Classification in Cats and Dogs
by: Szlosek, Donald, et al.
Published: (2024)
by: Szlosek, Donald, et al.
Published: (2024)
Analyzing Poverty through Intra-Annual Time-Series: A Wavelet Transform Approach
by: Kakooei, Mohammad, et al.
Published: (2024)
by: Kakooei, Mohammad, et al.
Published: (2024)
Gradient Boosting Application in Forecasting of Performance Indicators Values for Measuring the Efficiency of Promotions in FMCG Retail
by: Henzel, Joanna, et al.
Published: (2020)
by: Henzel, Joanna, et al.
Published: (2020)
Macroscopic Emission Modeling of Urban Traffic Using Probe Vehicle Data: A Machine Learning Approach
by: Adlouni, Mohammed Ali El, et al.
Published: (2025)
by: Adlouni, Mohammed Ali El, et al.
Published: (2025)
Enhancing Fairness and Performance in Machine Learning Models: A Multi-Task Learning Approach with Monte-Carlo Dropout and Pareto Optimality
by: Zanna, Khadija, et al.
Published: (2024)
by: Zanna, Khadija, et al.
Published: (2024)
Machine Learning Predicts Upper Secondary Education Dropout as Early as the End of Primary School
by: Psyridou, Maria, et al.
Published: (2024)
by: Psyridou, Maria, et al.
Published: (2024)
Machine Learning for Public Good: Predicting Urban Crime Patterns to Enhance Community Safety
by: Gupta, Sia, et al.
Published: (2024)
by: Gupta, Sia, et al.
Published: (2024)
Causal Explainability of Machine Learning in Heart Failure Prediction from Electronic Health Records
by: Hou, Yina, et al.
Published: (2025)
by: Hou, Yina, et al.
Published: (2025)
Falsifying Predictive Algorithm
by: Coston, Amanda
Published: (2026)
by: Coston, Amanda
Published: (2026)
WatchAnxiety: A Transfer Learning Approach for State Anxiety Prediction from Smartwatch Data
by: Ahmed, Md Sabbir, et al.
Published: (2025)
by: Ahmed, Md Sabbir, et al.
Published: (2025)
Boosting Fairness and Robustness in Over-the-Air Federated Learning
by: Oksuz, Halil Yigit, et al.
Published: (2024)
by: Oksuz, Halil Yigit, et al.
Published: (2024)
LSTM+Geo with xgBoost Filtering: A Novel Approach for Race and Ethnicity Imputation with Reduced Bias
by: Chalavadi, S., et al.
Published: (2025)
by: Chalavadi, S., et al.
Published: (2025)
Breaking the Cycle of Incarceration With Targeted Mental Health Outreach: A Case Study in Machine Learning for Public Policy
by: Rodolfa, Kit T., et al.
Published: (2025)
by: Rodolfa, Kit T., et al.
Published: (2025)
Vicarious Offense and Noise Audit of Offensive Speech Classifiers: Unifying Human and Machine Disagreement on What is Offensive
by: Weerasooriya, Tharindu Cyril, et al.
Published: (2023)
by: Weerasooriya, Tharindu Cyril, et al.
Published: (2023)
Exploring Educational Equity: A Machine Learning Approach to Unravel Achievement Disparities in Georgia
by: Ma, Yichen, et al.
Published: (2024)
by: Ma, Yichen, et al.
Published: (2024)
Estimating Item Difficulty Using Large Language Models and Tree-Based Machine Learning Algorithms
by: Razavi, Pooya, et al.
Published: (2025)
by: Razavi, Pooya, et al.
Published: (2025)
Bushfire Severity Modelling and Future Trend Prediction Across Australia: Integrating Remote Sensing and Machine Learning
by: Partheepan, Shouthiri, et al.
Published: (2024)
by: Partheepan, Shouthiri, et al.
Published: (2024)
MachineLearnAthon: An Action-Oriented Machine Learning Didactic Concept
by: Tkáč, Michal, et al.
Published: (2024)
by: Tkáč, Michal, et al.
Published: (2024)
Machine Learning in Epidemiology
by: Wright, Marvin N., et al.
Published: (2026)
by: Wright, Marvin N., et al.
Published: (2026)
Auditing LLMs for Algorithmic Fairness in Casenote-Augmented Tabular Prediction
by: Lee, Xiao Qi, et al.
Published: (2026)
by: Lee, Xiao Qi, et al.
Published: (2026)
An ExplainableFair Framework for Prediction of Substance Use Disorder Treatment Completion
by: Lucas, Mary M., et al.
Published: (2024)
by: Lucas, Mary M., et al.
Published: (2024)
The Role of Learning Algorithms in Collective Action
by: Ben-Dov, Omri, et al.
Published: (2024)
by: Ben-Dov, Omri, et al.
Published: (2024)
Integrating HCI Datasets in Project-Based Machine Learning Courses: A College-Level Review and Case Study
by: Qu, Xiaodong, et al.
Published: (2024)
by: Qu, Xiaodong, et al.
Published: (2024)
Evaluation of Machine Learning Models in Student Academic Performance Prediction
by: Sandeepa, A. G. R., et al.
Published: (2025)
by: Sandeepa, A. G. R., et al.
Published: (2025)
Machine Learning-based Approach for Ex-post Assessment of Community Risk and Resilience Based on Coupled Human-infrastructure Systems Performance
by: Li, Xiangpeng, et al.
Published: (2024)
by: Li, Xiangpeng, et al.
Published: (2024)
Developing a Novel Holistic, Personalized Dementia Risk Prediction Model via Integration of Machine Learning and Network Systems Biology Approaches
by: Mamidala, Srilekha
Published: (2023)
by: Mamidala, Srilekha
Published: (2023)
Towards An Online Incremental Approach to Predict Students Performance
by: Labba, Chahrazed, et al.
Published: (2024)
by: Labba, Chahrazed, et al.
Published: (2024)
Similar Items
-
A Deep Generative Framework for Joint Households and Individuals Population Synthesis
by: Qian, Xiao, et al.
Published: (2024) -
Deep Contrastive Learning for Feature Alignment: Insights from Housing-Household Relationship Inference
by: Qian, Xiao, et al.
Published: (2025) -
A Comparative Analysis of Wealth Index Predictions in Africa between three Multi-Source Inference Models
by: Karsai, Márton, et al.
Published: (2024) -
Boosting Fair Classifier Generalization through Adaptive Priority Reweighing
by: Hu, Zhihao, et al.
Published: (2023) -
Delete My Account: Impact of Data Deletion on Machine Learning Classifiers
by: Dam, Tobias, et al.
Published: (2023)