Machine Learning
Feature Mapping
The process of transforming input features into a more suitable format for modeling.
Expanded definition
Feature mapping refers to the transformation of raw input data into a structured format that can be fed into machine learning algorithms. This process often involves scaling, encoding categorical variables, or creating interaction terms. Effective feature mapping can significantly improve model performance by enhancing the signal and reducing noise.
Related terms
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