Interpretable machine learning for predicting heavy metal removal efficiency in electrokinetic soil remediation

Scikit-learn: Machine Learning in Python

Fabián Pedregosa, Gaël Varoquaux, Alexandre Gramfort et al. · arXiv (Cornell University) · 2012 · 63.7K citations · Full text

Computing, Computer Science, Artificial Intelligence +10

XGBoost

2016 · 48.6K citations · Full text

Computing, Computer Science, Data Science +15

Array programming with NumPy

Nature · 2020 · 22.3K citations · Full text

Natural Sciences, Astronomy, Computer Science +10

On a Method to Measure Supervised Multiclass Model’s Interpretability: Application to Degradation Diagnosis (Short Paper)

Dagstuhl Research Online Publication Server · 2024 · 13.3K citations · Full text

Computing, Computer Science, Data Science +17

Extremely randomized trees

Pierre Geurts, Damien Ernst, Louis Wehenkel · Machine Learning · 2006 · 8.7K citations · Full text