Concept graph
Glossary
Short definitions with deeper context and cross-links to sibling terms.
Model Evaluation
bias-variance-tradeoff
The balance between a model's complexity and its ability to generalize well to new data.
Data Science
Principal Component Analysis (PCA)
A dimensionality reduction technique used to simplify datasets while preserving variance.
Model Evaluation
Variance
Variance measures a model's sensitivity to fluctuations in the training data, contributing to overfitting when high.