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Classification Modeling

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Build binary and multiclass classification models using logistic regression, decision trees, and ensemble methods for categorical prediction and classification

skills/classification-modeling/SKILL.md

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# Classification Modeling

## Overview

Classification modeling predicts categorical target values, assigning observations to discrete classes or categories based on input features.

## When to Use

- Predicting binary outcomes like customer churn, loan default, or email spam
- Classifying items into multiple categories such as product types or sentiment
- Building credit scoring models or risk assessment systems
- Identifying disease diagnosis or medical condition from patient data
- Predicting customer purchase likelihood or response to marketing
- Detecting fraud, anomalies, or quality defects in production systems
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