Extrapolated Random Tree for Regression

This repository contains the implementation of ERTR as described in the paper Extrapolated Random Tree for Regression accepted for ICML 2023. This implementation is built using Python 3 and requires the following packages:

• sklearn
• numpy
• pandas
• matplotlib
• scipy

UCI Machine Learning Repository

This implementation uses a dataset from the UCI Machine Learning Repository. The data is included in the data directory.

References

• Extrapolated Random Tree for Regression (ICML 2023)