Machine Learning
133 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
DBSCAN
Density-based clustering finding clusters of varying shapes
Semi-Supervised Learning
Combining small labeled datasets with large unlabeled data
AdaBoost
Combining weak classifiers with adaptive sample weighting
Unsupervised Learning
Discovering hidden patterns in unlabeled data
Support Vector Machine
Finding optimal hyperplane to separate classes with max margin
ARIMA
Statistical model for time series analysis and forecasting