The Synthetic Data Advantage: How It Helps You to Get Both AI Privacy & Explainability
summary
Creates synthetic structured data on the Mostly AI platform and runs notebooks in DataCamp to test utility using a Paris Airbnb set (~56k rows, 80/20 split). Trains LightGBM under a train‑synthetic‑test regime and finds model trained on synthetic data hits 81.5% accuracy and AUC 89.7% versus 81.9% and AUC 90.1% for the real-data model. Shows synthetic one‑way generation preserves population patterns, speeds access from months to hours, and uses smart imputation to recover missing age distributions toward ground truth; unsuitable for very small cohorts (<~5k).
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chapters (9)
- 0:00Synthetic data tutorial
- 2:07What we will cover in this session
- 5:00Why synthetic data is needed
- 15:10AI-generated synthetic data
- 24:58Q&A before hands-on
- 26:13Assessing synthetic data quality
- 37:37Synthetic data for explainable AI
- 50:31Smart imputation with synthetic data
- 57:38Closing and audience feedback
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