# Classification And Regression Tree (CART)

Skill · Data Science, Analytics and AI/ML

Canonical page: https://career.thegoodapps.co/skills/classification-and-regression-tree-cart

CART is a decision tree algorithm used in machine learning and statistics to build predictive models for both classification (categorical outcomes) and regression (continuous outcomes) tasks. It works by recursively splitting data into subsets based on feature values that best separate the target variable. Data scientists and analysts use CART for tasks like customer segmentation, risk prediction, and as a building block for ensemble methods like random forests.

## Roles that use Classification And Regression Tree (CART)

- [Scientist](https://career.thegoodapps.co/occupations/scientist) — 1

Related skills: [Predictive Modeling](https://career.thegoodapps.co/skills/predictive-modeling), [Decision Trees](https://career.thegoodapps.co/skills/decision-trees), [Ensemble Methods](https://career.thegoodapps.co/skills/ensemble-methods), [scikit-learn](https://career.thegoodapps.co/skills/scikit-learn)

## Open roles requiring Classification And Regression Tree (CART) (1)

- [Principal Scientist, Antibody Discovery and Engineering](https://career.thegoodapps.co/jobs/333cda15-d666-4efd-8394-ad5f60b29405/principal-scientist-antibody-discovery-and-engineering-at-moderna) at [Moderna](https://career.thegoodapps.co/organizations/moderna) — Full-time, $142,500 – $256,500