Poor performance in machine learning models comes from either overfitting or underfitting, and we’ll take a close look at the first one. Overfitting happens when the learned hypothesis is fitting the training data so well that it hurts the model’s performance on unseen data. The model generalizes poorly to new instances that aren’t a part […]
The post Fighting Overfitting with L1 or L2 Regularization – Which One Is Better? appeared first on neptune.ai.
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