One-sentence definition
Total or partial presence of evaluation data in the training, tuning, or prior context of a model.
Total or partial presence of evaluation data in the training, tuning, or prior context of a model.
Total or partial presence of evaluation data in the training, tuning, or prior context of a model.
Generalization is a model's ability to keep useful behavior on examples that do not exactly match the training data. This entry explains how it is measured, why independence assumptions matter, and what empirical studies show about its limits.
22 Oct 2026 ↗ GLOSARIOOverfitting occurs when a machine learning model memorizes noise and specific patterns in training data, achieving high accuracy on that data but failing to generalize to new inputs. This technical guide explains the phenomenon through the bias-variance tradeoff, details detection methods using loss curves and cross-validation, and contrasts overfitting with underfitting and data leakage. It includes applied examples in fraud detection, medical diagnosis, and logistics, along with a mitigation protocol based on regularization, early stopping, and data augmentation.
20 Oct 2026 ↗ GLOSARIOSynthetic data is generated artificially to preserve properties of real data that matter for a specific purpose. Its artificial origin does not, by itself, show that it is useful, high-quality, or private.
29 Sep 2026 ↗ GLOSARIOA benchmark is an evaluation defined by tasks, data, a protocol, and metrics. Its score describes performance under those specific conditions; by itself, it proves neither general capability nor production performance.
25 Sep 2026 ↗