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
K-Nearest Neighbors
Classifying based on majority class of k nearest neighbors
Hyperparameter Tuning
Finding optimal configuration values before training
Learning Rate
Hyperparameter controlling gradient descent step size
Ensemble Learning
Combining multiple models for better predictions
Clustering
Grouping similar data points based on feature similarity
Precision Recall
Metrics measuring positive prediction quality and coverage