You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
We explored various approaches to deal with high-dimensional data in this study, and we compared them using simulation and soil datasets. We discovered that grouping had a significant impact on model correctness and error reduction. For the core projection step, we first looked at the properties of all the algorithms and how they function to com…
An R package that implements the Hierarchical Feature Regression: a regularized group-shrinkage regression estimator based on supervised hierarchical graphs
A repository for a showcase project. I analyze juice consumer data, using logistic regression and logistic lasso penalized regression in R to predict what juice brand a customer purchases based on characteristics of the situation.