AI 용어집

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Gradient Boosting Machine (GBM)

Ensemble learning technique that optimizes a loss function through gradient descent, particularly effective for modeling non-linear relationships in fraud data.

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Cross-Validation for Ensembles

Robust evaluation technique adapted for ensemble models, preventing overfitting and ensuring the generalization of fraud detection systems on new data.

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Hyperparameter Tuning for Ensembles

Optimization process of ensemble model parameters such as the number of estimators or tree depth, crucial for maximizing fraud detection accuracy.