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
Online Learning
Updating models incrementally as new data arrives
Clustering
Grouping similar data points based on feature similarity
Cross-Validation
Evaluating model performance with multiple data splits
K-Nearest Neighbors
Classifying based on majority class of k nearest neighbors
Kernel Trick
Transforming data to higher dimensions for linear separability
ROC Curve
Plot showing classifier performance across thresholds