Machine Learning
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Hyperparameter Tuning
Quick Definition
Finding optimal configuration values before training
Full Definition
Finding optimal configuration values set before model training using search strategies.
Examples
grid search, random search, Bayesian optimization
Related Terms
cross-validation
model-selection
More Machine Learning Terms
Bayesian Optimization
Optimizing expensive functions using a probabilistic model
Feature Engineering
Creating and transforming input variables to improve performance
Overfitting
When a model learns training data noise and fails on new data
CatBoost
Gradient boosting library with native categorical feature support
UMAP
Fast dimensionality reduction preserving local and global structure
Survival Analysis
Statistical methods analyzing time until an event occurs