For Heads-of · Practitioner
Training Data
The dataset used to train a machine learning model, from which the model learns patterns and relationships.
- training data
- data quality
- model training
- dataset
Quality Impact
Model performance and behavior are heavily influenced by training data. Biased, incomplete, or low-quality training data leads to biased or poor models.
Data Governance
Training data must be documented: source, collection method, size, representativeness, known biases, and how it was preprocessed or filtered.
Regulatory Scrutiny
Regulators increasingly require organizations to document and justify training data choices, especially for high-risk systems. Using proprietary or sensitive data in training may create legal and ethical issues.