Support Vector Machines provided a robust method for classifying purchase behavior. While the linear kernel was simple and interpretable, the radial kernel captured more complex relationships in the data. Cross-validation helped prevent overfitting and select optimal model parameters.

This interactive map was created with the leaflet package in R as part of the Coursera Developing Data Products course.