Poverty Prediction and the Identification of Discriminative Features on Household Data from Cambodia
I utilised household data from Cambodia, obtained from the Demographic and Health Surveys (DHS) Program, in order to classify households by poverty level. I implemented Softmax Classification, Random Forest, and Neural Network Models for poverty classification. Finally, I identified important features in distinguishing households by wealth value.
Email Address of Submitting Authorgabriellewong819@gmail.com
Submitting Author's InstitutionWycombe Abbey School
Submitting Author's Country
- United Kingdom