Concept graph
Glossary
Short definitions with deeper context and cross-links to sibling terms.
machine learning
out-of-distribution-generalization
The ability of a model to perform well on unseen data that is different from the training set.
Modeling
Overfitting
A modeling error that occurs when a model learns noise and details from the training data.
Machine Learning
semi-supervised-learning
A learning approach that combines labeled and unlabeled data for training models.
Data Science
synthetic-data-generation
The process of creating artificial data that mimics real-world data for training machine learning models.
Model Evaluation
Variance
Variance measures a model's sensitivity to fluctuations in the training data, contributing to overfitting when high.
Machine Learning
Zero-shot Learning
A machine learning approach where the model predicts classes that it has not seen during training.