Developing robust arsenic awareness prediction models using machine learning algorithms

Earth & Environmental Sciences

• machine learning 67%
• arsenic 60%
• prediction 33%
• support vector machine 18%
• caste 14%
• defecation 14%
• water collection 13%
• nongovernmental organization 10%
• socioeconomics 7%
• mitigation 7%
• sustainability 7%
• social capital 6%
• socioeconomic factor 5%
• social network 5%
• sanitation 5%

Engineering & Materials Science

• Arsenic 100%
• Learning algorithms 56%
• Machine learning 49%
• Support vector machines 15%
• Random forests 15%
• Sustainable development 8%
• Water 7%
• Sanitation 6%
• Logistic regression 5%