supervised learning
🤖 CT-AI
Official ISTQB Definition
A type of machine learning where the model is trained on labeled data, learning to map inputs to known outputs.
3 Ways to Think About It
The Quick Take
Training AI by showing it labeled examples - testers must verify both the training data quality and model accuracy.
Look Closer
ML where the 'right answers' are provided during training, making test data curation critical.
The Bottom Line
Teaching AI with examples, so testing includes validating that labels are correct and the model generalizes well.
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