  lcensemble is a high-performing, scalable and user-friendly Python package
for the general tasks of classification and regression. The package implements
Local Cascade Ensemble (LCE), a machine learning method that further enhances
the prediction performance of the current state-of-the-art methods Random
Forest and XGBoost. LCE combines their strengths and adopts a complementary
diversification approach to obtain a better generalizing predictor. The package
is compatible with scikit-learn, therefore it can interact with scikit-learn
pipelines and model selection tools. It is distributed under the Apache 2.0
license, and its source code is available at
https://github.com/LocalCascadeEnsemble/LCE.
