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Glossary

Clear definitions, no jargon.

What risk intelligence, predictive analytics, and Monte Carlo simulation really mean — in language any executive understands.

Glossary
Gradient Boosting
A machine learning technique that combines many weak models to create a strong prediction.
Glossary
Imbalanced Data
When 95% of your projects are green and only 5% are red -- a machine learning problem with far-reaching consequences.
Glossary
SMOTE
Synthetic data that feels real -- the standard method for fixing class imbalances.
Glossary
Overfitting
When your model knows the training data perfectly -- but cannot recognize new projects.
Glossary
Precision and Recall
Two numbers that determine whether your risk model is useful -- or just annoying.
Glossary
Monte Carlo Simulation
A statistical method that runs thousands of random scenarios to estimate the probability of different outcomes.
Glossary
Risk Score
A standardized number that quantifies the overall risk of a project — not from gut feeling, but from real-time data.

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