scikit learn

Which Machine Learning Models are Useful for Catalysis?

Several machine learning models provided by scikit-learn can be particularly useful in catalysis research:
Linear regression for predicting catalytic reaction rates.
Decision trees and random forests for classification of catalyst types.
Support vector machines (SVMs) for classification and regression tasks.
Clustering algorithms like K-means for grouping similar catalysts.

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