Concept graph
Glossary
Short definitions with deeper context and cross-links to sibling terms.
Regularization
Dropout
A regularization technique used to prevent overfitting in neural networks by randomly deactivating a fraction of neurons during training.
Machine Learning
Model Regularization
A technique used to prevent overfitting by adding a penalty for larger coefficients in a model.
Modeling
Overfitting
A modeling error that occurs when a model learns noise and details from the training data.
Modeling
Regularization
A technique used to prevent overfitting by adding a penalty to the loss function.
Model Evaluation
Variance
Variance measures a model's sensitivity to fluctuations in the training data, contributing to overfitting when high.