regularized (Meaning)

regularized

to make regular by conformance to law, rules, or custom, to make regular

The model was regularized to prevent overfitting and improve generalization.
Regularization techniques help constrain the model's complexity and reduce variance.
The L1 regularization term regularizes the model by penalizing the absolute value of the weights.
The L2 regularization term regularizes the model by penalizing the squared value of the weights.
Elastic net regularization combines L1 and L2 regularization, offering a balance between sparsity and stability.
The regularization parameter controls the trade-off between model complexity and data fidelity.
Regularization helps stabilize the training process and makes the model less sensitive to noisy data.
The regularized model often performs better on unseen data than the unregularized counterpart.
Regularization is particularly important in high-dimensional datasets to prevent overfitting.
Regularized regression models provide more reliable and interpretable coefficients compared to unregularized models.

to make regular by conformance to law, rules, or custom, to make regular

standardized, structured, organized, systematic, systematized, orderly,ordered, correct, accurate, methodic

nonsystematic, disorganized, haphazard, unsystematic, hit-or-miss,irregular, unordered, disorderly, planless, disordered

The model was regularized to prevent overfitting and improve generalization.

Regularization techniques help constrain the model's complexity and reduce variance.

The L1 regularization term regularizes the model by penalizing the absolute value of the weights.

The L2 regularization term regularizes the model by penalizing the squared value of the weights.