Machine Learning
166 views
Model Selection
Quick Definition
Choosing the best ML model from candidates
Full Definition
Choosing the best ML model from candidates by comparing metrics like accuracy and cross-validation scores.
Examples
comparing algorithms, hyperparameter tuning, evaluation
Related Terms
cross-validation
hyperparameter-tuning
More Machine Learning Terms
XGBoost
Optimized gradient boosting library for structured data
UMAP
Fast dimensionality reduction preserving local and global structure
Survival Analysis
Statistical methods analyzing time until an event occurs
Imbalanced Learning
Handling datasets with unequal class distributions
Unsupervised Learning
Discovering hidden patterns in unlabeled data
Reinforcement Learning ML
Learning optimal decisions through environment interaction