Machine Learning
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Cross-Validation
Quick Definition
Evaluating model performance with multiple data splits
Full Definition
A statistical technique evaluating model performance by partitioning data into multiple training and validation folds.
Examples
k-fold validation, stratified sampling, hyperparameter tuning
Related Terms
model-evaluation
hyperparameter-tuning
More Machine Learning Terms
Markov Chain
Stochastic model where events depend only on previous state
Boosting
Sequentially combining weak learners correcting previous errors
UMAP
Fast dimensionality reduction preserving local and global structure
K-Nearest Neighbors
Classifying based on majority class of k nearest neighbors
K-Means
Partitioning data into k clusters by updating centroids
Dropout
Regularization randomly deactivating neurons during training