Machine Learning
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Feature Selection
Quick Definition
Identifying the most relevant features for model training
Full Definition
Identifying the most relevant features from a dataset for use in model training.
Examples
recursive feature elimination, mutual information, L1 regularization
Related Terms
feature-engineering
dimensionality-reduction
More Machine Learning Terms
PCA
Statistical technique reducing dimensionality via principal components
Reinforcement Learning ML
Learning optimal decisions through environment interaction
Imbalanced Learning
Handling datasets with unequal class distributions
Kernel Trick
Transforming data to higher dimensions for linear separability
Machine Learning
AI subset where systems learn patterns from data
Hyperparameter Tuning
Finding optimal configuration values before training