Overfitting Trend 2026

In machine learning, overfitting occurs when a model learns training data too precisely, including noise and outliers, harming performance on new data. It is avoided through techniques like cross-validation or regularization. Data scientists and AI engineers benefit from recognizing overfitting to build models that generalize better, ensuring accurate predictions in real-world applications.