Predict Saving Behavior - Artificial Neural Network & Machine Learning
This study aims to predict saving behavior using Artificial Neural Network (ANN), XGBoost, and Support Vector Machine (SVM) algorithms. First, 25 variables were chosen from the original 217 questions asked by the National Financial Capability Well-Being Survey (2018) NFCS, using exploratory data analysis. K-means clustering was applied to determine the optimal number of saving classes (k=5) to inc