Feature Selection
Feature Selection is a process in machine learning where the most relevant input variables (features) are selected for use in model construction.
Areas of application
- Pattern Recognition
- Predictive Modeling
- Data Mining
- Text Classification
- Image Processing
- Financial Analysis
- Bioinformatics
Example
For a sentiment analysis task, Feature Selection could help identify the most important words in a text document that can accurately predict the sentiment of the user.