Feature Engineering

Feature Engineering - Feature Engineering is the process of selecting, transforming, and creating input features from raw data to improve the performance and accuracy of machine learning models. This involves extracting meaningful attributes that capture essential patterns within the data, thereby enhancing the model's ability to make accurate predictions.

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Identification

Label (rdfs)
Feature Engineering
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Alternative Labels
Attribute Engineering, Data Attribute Optimization, Feature Extraction, Predictive Feature Development, Variable Transformation
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Definition and Examples

Definition
Feature Engineering is the process of selecting, transforming, and creating input features from raw data to improve the performance and accuracy of machine learning models. This involves extracting meaningful attributes that capture essential patterns within the data, thereby enhancing the model's ability to make accurate predictions.
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Deprecated
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