Intermediate · Data
Clipping
Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.
TL;DR. A method to control outliers by capping feature values at predefined minimum and maximum thresholds.
Technical Definition
A method to control outliers by capping feature values at predefined minimum and maximum thresholds.
How it works
Clipping is a data preprocessing technique used to manage extreme values, or outliers, within a dataset. It involves setting any feature value above a specified maximum threshold to that threshold, and any value below a minimum threshold to that minimum threshold. For instance, if a feature's acceptable range is 40-60, values above 60 would be set to 60, and values below 40 would be set to 40.
Related Concepts
- Feature Engineering — The process of creating, selecting, and transforming input variables to improve a machine learning model's performance.
- Data Preprocessing — Transforming raw data into a format suitable for model training.