How do Generative Adversarial Networks (GANs) improve the classification performance of ensemble methods like Random Forests or Gradient Boosting?

Question

Accepted Answer

By generating diverse, realistic synthetic data records that expand training diversity and make models more robust

Answer

By converting relational database structures into non-relational configurations

Answer

By running text sentiment analysis directly on raw files

Answer

By stripping out every engineered column attribute

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