Machine Learning
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Feature Engineering
Quick Definition
Creating and transforming input variables to improve performance
Full Definition
Using domain knowledge to create, select, and transform input variables to improve model performance.
Examples
interaction terms, encoding categoricals, scaling features
Related Terms
data-preprocessing
feature-selection
More Machine Learning Terms
Unsupervised Learning
Discovering hidden patterns in unlabeled data
Precision Recall
Metrics measuring positive prediction quality and coverage
XGBoost
Optimized gradient boosting library for structured data
Active Learning
Algorithm selecting most informative data points for labeling
Lasso Regression
Regularized regression using L1 penalty for feature selection
Machine Learning
AI subset where systems learn patterns from data