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
t-SNE
Nonlinear technique for visualizing high-dimensional data
Active Learning
Algorithm selecting most informative data points for labeling
Loss Function
Math function measuring prediction vs actual value difference
A/B Testing
Statistical method comparing two versions for performance
Ensemble Learning
Combining multiple models for better predictions
Margin
Distance between decision boundary and nearest data points