Could machine learning improve the prediction of child labor in Peru?

Economía y empresa

• Machine Learning 73%
• Child Labor 71%
• Neural Networks 67%
• Logit Model 65%
• Peru 58%
• Prediction 45%
• Government Agencies 38%
• Statistical Model 25%
• Resources 23%
• Educational Level 21%
• Information Needs 20%
• Economic Growth 20%
• Artificial Neural Network 19%
• Income Level 18%
• Resource Allocation 16%
• Policymaker 15%
• Developing Countries 11%
• Factors 6%

Ciencias sociales

• child labor 69%
• neural network 66%
• Peru 58%
• government agency 27%
• non-linear model 21%
• learning 19%
• resources 18%
• economic growth 12%
• developing country 10%
• income 9%
• cause 8%
• gender 6%

Ciencias ambientales y de la tierra

• child labor 100%
• machine learning 56%
• prediction 27%
• resource allocation 16%
• resource 15%
• gender 14%
• economic growth 14%
• artificial neural network 12%
• income 12%
• developing world 12%
• family 10%
• policy 8%
• indicator 8%
• need 7%