Machine Learning
283 views
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
Confusion Matrix
Table visualizing classifier performance by class predictions
t-SNE
Nonlinear technique for visualizing high-dimensional data
PCA
Statistical technique reducing dimensionality via principal components
Logistic Regression
Statistical model estimating binary outcome probabilities
Data Augmentation
Artificially increasing training data through modified copies
UMAP
Fast dimensionality reduction preserving local and global structure