In the context of data mining, how is 'ensemble learning' best described?

A technique that combines predictions from multiple models to improve accuracy and robustness.
Using algorithms specifically designed for mining ensemble datasets.
Focusing on individual model predictions for better interpretability.
Ignoring the diversity of models for simplicity.

Ensemble Learning involves combining predictions from multiple models to enhance overall accuracy and reliability. It leverages the strengths of different models and reduces the risk of relying on a single model's limitations. The other options do not accurately describe ensemble learning.

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