EvoBoost: A novel gradient boosting classifier and regressor by Sudip Barua
Project description
EvoBoost
Inventor: Sudip Barua
EvoBoost is a next-generation machine learning algorithm that extends gradient boosting by introducing probabilistic residuals and interpretable updates for classification and regression.
Installation
pip install evoboost
Usage
from evoboost import EvoBoostClassifier
model = EvoBoostClassifier()
model.fit(X_train, y_train)
preds = model.predict(X_test)
Citation
EvoBoost is a novel gradient boosting algorithm developed by Sudip Barua in 2025.
Citation information will be added here once the academic paper is officially published.
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