Supervised Learning

Category: science

A type of ML where the algorithm learns from labeled training data to predict outcomes.

In supervised learning, the "answer key" is provided. For example, you feed the model 10,000 past insurance claims labeled "Fraudulent" or "Legitimate." The model identifies the patterns that differentiate the two, allowing it to autonomously categorize future, unlabeled data.

Common Examples

• We utilized supervised learning to build a risk-scoring model that flags potentially mispriced commercial liability policies.
• Supervised learning is the industry standard for predictive modeling where historical ground-truth data is abundant and accessible.