Feature-Selection (EN)

Feature Selection Process

flowchart TD     A[Raw Data] --> B[Feature Extraction]     B --> C[Feature Evaluation]     C --> D{Feature Selection}     D -->|Filter Methods| E[Statistical Tests]     D -->|Wrapper Methods| F[Model-based Evaluation]     D -->|Embedded Methods| G[Model-integrated Selection]     E --> H[Final Feature Set]     F --> H     G --> H     H --> I[ML Model]     I --> J[Results] 

In Context

• Typically used together with feature engineering and hyperparameter optimization
• Related to: Dimensionality reduction, overfitting prevention, regularization
• Example use case: In text classification, only the most informative words are selected as features