Big Data Analytics and Visualization
LIME, which stands for Local Interpretable Model-agnostic Explanations, is a technique used to explain the predictions of any machine learning model in a way that is understandable to humans. It helps in interpreting complex models by approximating them locally with simpler, more interpretable models, making it easier to understand how input features contribute to a specific prediction. This approach is crucial for ensuring transparency and trust in machine learning applications, especially in classification and regression tasks.
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